The UK produces an extraordinary number of technically excellent products that never become financially significant businesses.
I do not mean products that fail because the technology does not work. I mean products where the technology works well, the founding team is genuinely talented, and there is a real problem being solved — but the company never achieves the commercial trajectory that the technical capability justifies. The founders are brilliant engineers or developers who understand their domain with depth and precision. What they are less comfortable with is the commercial machinery that turns a working product into a fundable, scalable, acquirable business.
After working with tech founders across the full spectrum — from Cambridge spin-outs navigating their first VC conversations to B2B SaaS businesses preparing for trade sale — the pattern I see most consistently is that the technology receives the majority of founder attention at every stage of the journey, while the commercial strategy receives a fraction of what it deserves. Product development is where tech founders are most confident and most fluent. Fundraising, IP strategy, go-to-market design, and exit preparation are areas where the same founders often operate on instinct, partial information, or advice from people who have never actually built and sold a technology business.
This blueprint is for UK tech founders who understand their technology well and want to understand the commercial journey with the same rigour. It covers the five stages that matter most: product development strategy and when to build versus validate, intellectual property protection and why most tech startups get this sequence wrong, fundraising through the UK’s equity stack from pre-seed to Series A and beyond, scaling a tech business without the operational failure modes that commonly derail fast-growing companies, and exit preparation — the stage that most founders think about too late and that determines whether a decade of work converts into a genuinely significant outcome.
Stage 1: Product Development Strategy — Build What Customers Will Pay For, Not What You Can Build
The defining feature of technically excellent founders is their tendency to default to building. When facing commercial uncertainty—does the market want this? Will customers pay this price? Is this the right feature priority? — the instinct is to resolve it by building more, demonstrating more capability, adding more functionality. This instinct, applied without commercial discipline, is what produces technically impressive products with no revenue.
The commercial question that should govern every product development decision is not “can we build this?” but “will the customer value this enough to pay for it, and does building it before that is confirmed represent the best use of our limited runway?” The two questions sound similar. They produce fundamentally different development priorities.
The build-measure-learn discipline that underpins lean product development is not a startup fashion — it is the recognition that development time and capital are finite, that every sprint spent building an unvalidated feature is a sprint not spent on something with confirmed commercial value, and that the fastest path to a strong commercial position is the one that eliminates the most critical uncertainty first.
For tech founders, this means resisting the tendency to reach a certain level of technical completeness before engaging customers. The “it’s not ready to show yet” instinct costs more runway than almost any other single habit. An early customer who sees a genuinely incomplete product and provides substantive feedback on what they actually need is worth more to the company’s direction than three months of internally-directed development.
The product development decisions that matter most at each stage are as follows.
At the pre-seed stage, the central product question is: what is the minimum version of this product that would allow a real customer to experience the core value and provide genuine feedback on whether it solves their problem? Not a full demo, not a walkthrough — a working version of the core value proposition that a target customer can actually use. This is the level of product completeness at which customer discovery conversations become commercially meaningful, and at which early investors can assess whether the technology delivers the outcome it claims.
At the seed stage, the central product question shifts: what do early adopters’ usage data tell us about which features are actually driving retention and which we built because we thought they mattered? The difference between what founders believe customers value and what customers actually use is almost always larger than expected. Seed-stage product development should be guided by usage data and customer feedback rather than by a founder’s conviction about the optimal feature set.
At Series A and beyond, the product question becomes: is the architecture designed to scale to the customer volume, data volume, and operational complexity implied by the growth plan? Technical debt accumulated during the pre-seed and seed stages, in the service of speed, becomes expensive to maintain at scale. Series A fundraising conversations with sophisticated investors will probe the technical architecture directly — not because investors are technologists, but because they have seen enough scaled infrastructure failures to know that architecture decisions at early stages have significant implications for the cost and difficulty of growth.
The most consistent product development mistake I see in UK tech startups is building a feature set that demonstrates technical capability rather than one that solves a specific, acute customer problem with minimum viable friction. The products that scale commercially are almost always simpler than the products that impress other technologists. Build Boss, the construction technology platform in the SGI portfolio, achieved adoption among 150+ construction companies by solving a specific, high-friction problem for contractors—project management workflow—rather than attempting to build a comprehensive construction management suite. The 25% average improvement in project efficiency they documented in early pilots was a precise, credible, and commercially communicable outcome. Precision and credibility of the commercial outcome matter more than feature breadth in driving adoption.
Stage 2: Intellectual Property — Protect the Right Things in the Right Order
IP strategy in early-stage tech businesses is typically either over-engineered or completely neglected, and both extremes are costly.
The over-engineered version involves founders spending significant time and money on patent applications before they have validated commercial demand for the product — protecting the implementation details of something that may need to change substantially as customer feedback shapes the actual product. Patent applications are expensive, time-consuming, and claim-specific. A patent filed at the pre-seed stage on a particular implementation may be commercially irrelevant if the product pivots to a materially different architecture in response to market learning.
The neglected version involves founders who are aware that IP protection is relevant but defer it indefinitely because it feels like administrative overhead, while there is “real work” to be done. In a sector where technical differentiation is the primary commercial moat, the window between technical development and competitors’ awareness of what has been built is when IP protection has maximum value. Failing to capture that window — through a patent application, a design right, a trademark, or appropriate trade secret management — can eliminate the commercial value of years of development effort if a competitor reproduces the core innovation.
The correct IP approach for UK tech startups is sequenced rather than comprehensive or deferred. It works as follows.
Trade secrets first. Before any formal IP registration, the most immediately actionable protection for most early-stage tech businesses is rigorous management of what is and is not disclosed, to whom, under what agreement. This means non-disclosure agreements prior to substantive technical demonstrations, appropriate confidentiality obligations in employment and contractor agreements, and clear internal protocols on what can be shared in public contexts, such as conference presentations, press coverage, or accelerator applications. Trade secret protection is free, immediately available, and the only IP protection available for software algorithms and methods that are not patentable. Most early-stage tech businesses neglect this entirely.
Trademark registration is early. The brand — the company name, the product name, the distinctive mark — is an IP asset that should be registered early and specifically before any significant marketing investment is made to build awareness of it. UK trademark registration through the Intellectual Property Office is relatively low-cost and straightforward, and it creates a clearly enforceable right that can be leveraged without litigation. International trademark registration through the Madrid Protocol should be considered for any business with near-term international ambitions — a registered UK trademark that a US or European competitor has already registered in their markets creates a significant barrier to the international growth plan.
Patent strategy calibrated to commercial value. Patent applications should be filed when the technical innovation is specific enough to be claimed precisely, the commercial application is sufficiently validated to justify the cost, and the innovation is genuinely novel relative to the prior art. The right moment for this in most tech startups is not at the earliest possible point—it is after sufficient customer validation has confirmed that the specific technical approach you are protecting is the one you will build the commercial product on. A provisional patent application buys twelve months of priority date protection at a lower cost than a full application, giving time for commercial validation without sacrificing the priority date.
Software copyright is automatic, but documentation matters. Original software code is automatically protected by copyright in the UK from the moment it is written. However, the practical enforceability of that protection depends significantly on documentation—version control records, development logs, and code comments that demonstrate the creation date and originality of the work. Maintain the development record as if you might need to prove prior creation in a future dispute, because occasionally you will.
The IP audit — a systematic review of what the business has created, what is currently protected, and what gaps exist — is the exercise I recommend to every tech founder at the point of preparing for a first external funding round, because it is at that point that due diligence will surface any gaps, and gaps discovered during due diligence are far more disruptive than gaps addressed in advance.
Stage 3: Fundraising Through the UK Equity Stack
The UK has the most developed technology investment ecosystem in Europe. London is Europe’s leading technology capital by investment volume. The ecosystem extends beyond London — Cambridge, Oxford, Manchester, Edinburgh, and Bristol all have strong local investor communities with sector-specific focus. Access to capital is not the limiting factor for most UK tech startups. What limits most of them is not knowing how to navigate the funding sequence, how to present to each investor type appropriately, and how to structure the commercial story that converts investor interest into term sheets.
The UK equity funding stack for technology businesses runs from pre-seed through to IPO or trade sale, with each stage characterised by different investor types, expectations, deal structures, and preparation requirements.
Pre-seed (typically £100,000 to £500,000) is funded by angel investors, angel syndicates, SEIS-qualifying funds, and occasionally university spinout funds for academic founders. At this stage, investors are primarily backing the founding team, the technical capability, and the size of the opportunity — not the commercial traction, which typically does not yet exist in any meaningful form. The investor documentation required at pre-seed is a detailed business plan with financial projections, a pitch deck, and a credible narrative about the market opportunity, the technical differentiation, and the founding team’s ability to execute. SEIS — the Seed Enterprise Investment Scheme — provides UK investors with 50% income tax relief on investments up to £200,000, and CGT exemption on disposal, making pre-seed investment significantly more attractive to UK angels than it would otherwise be. The SEIS qualification should be established as early as possible and confirmed before approaching angel investors, because many angels will not invest without it.
Seed (typically £500,000 to £2M) is funded by seed-stage VC funds, angel syndicates, and EIS-qualifying funds. At the seed stage, investors expect early commercial evidence—customer conversations, pilot deployments, letters of intent, or initial revenue—alongside the team and market story. The EIS — Enterprise Investment Scheme — provides 30% income tax relief on investments up to £1M, along with CGT deferral and exemption, making it similarly attractive to SEIS but available at larger investment sizes. The seed investment landscape in the UK includes dedicated seed funds (Seedcamp, LocalGlobe, Bethnal Green Ventures, SFC Capital) and the early-stage investment arms of larger funds. Approach seed investors with a strong commercial narrative grounded in concrete customer evidence, not just technical capability.
Series A (typically £3M to £15M) is the inflexion point at which the business model must be demonstrably working — meaningful ARR (annual recurring revenue) for SaaS businesses, clear unit economics, a defined and repeatable customer acquisition mechanism, and a credible growth plan that the investment will fund. Series A investors in the UK include a full range of established VC firms, such as Balderton Capital, Atomico, Index Ventures, and Octopus Ventures. The standard they apply is considerably more rigorous than at the seed stage — the financial modelling, the market analysis, and the commercial evidence must be of institutional quality, and the founding team must be able to engage at that level in the investor conversation. The business plan and data room prepared for a Series A round are substantial undertakings, and most founders who attempt them without adequate preparation fail not because the business is wrong but because the documentation does not meet the standard.
The most common fundraising mistakes I see UK tech founders make are five.
First, approaching investors without understanding which types of investors are appropriate for their stage and sector. A pre-revenue tech business approaching a Series B growth fund is unlikely to succeed, regardless of the quality of the pitch—the mismatch between the stage and the investor’s mandate is the problem, not the content. Research every investor’s portfolio, recent investments, sector focus, and stage preference before making contact.
Second, conflating technical capability with commercial investability. Investors are not buying the technology — they are buying the commercial return it can generate. Every investor conversation should be framed in commercial terms: market size, customer acquisition cost, revenue model, growth rate, and path to exit. The technology is the mechanism; the commercial outcome is the thesis.
Third, underselling the team. In early-stage investment, the founding team is often the primary investment thesis. Investors know that the product will change, the market will shift, and the strategy will evolve — but the team is relatively fixed. A compelling team narrative — relevant domain expertise, complementary skills, evidence of previous execution — is as important as the product narrative, and most founders do not invest enough preparation in it.
Fourth, neglecting the cap table. Dilution decisions made at pre-seed have compounding consequences at each subsequent round. A cap table that has been poorly structured in the early stages — excessive dilution, misaligned option pools, convertible notes with unfavourable terms — creates friction in later fundraising and can prevent high-quality investors from participating. Take advice on cap table structure before the first external investment, not after several rounds of ad hoc decisions.
Fifth, not having the right documentation quality. Investors receive enormous volumes of investment approaches. The quality of the business plan, financial model, and pitch deck signals the quality of the founders’ thinking and execution. Poor documentation does not just fail to impress—it actively sends negative signals about the business’s investability. SGI’s clients have secured funding from Atomico, Balderton, Index Ventures, and Octopus specifically because the investor documentation was prepared to institutional standards prior to investor contact.
Stage 4: Scaling Without Breaking
The scaling phase of a tech startup is when the commercial model has been validated and the objective shifts from finding product-market fit to building the operational infrastructure that can support rapid growth. It is also when a specific, well-documented set of failure modes becomes most dangerous — modes that kill businesses with genuinely strong products and genuine customer demand.
Technical scaling is the challenge of ensuring that the infrastructure — the servers, the databases, the APIs, the security architecture — can handle the load generated by growth. The businesses that fail here are not those that underestimated demand — they are those that built MVP-grade infrastructure and did not invest in the upgrade to production-grade before the load arrived. This is a failure of timing and prioritisation, not a technical one. The architecture review that identifies what will break at 10x current load should happen well before 10x load arrives, not in response to it.
Planetary Processing, the Cambridge-based gaming infrastructure startup, built its entire commercial proposition on solving exactly this scaling problem for indie game developers—the auto-scaling infrastructure challenge that causes MMOs to fail under peak load. The technical architecture was designed for scale from the outset, because for their customers, scaling failure is the product failure. Their VC funding from Blue Wire Capital and Cambridge Enterprise was secured on the basis of that architectural differentiation — the commercial proposition was intrinsically linked to the scaling capability.
Team scaling is the challenge of building an organisation that can execute the growth plan without the early team’s quality, culture, and coherence deteriorating. The risk is specific: the first ten employees in a tech startup are typically unusual people — high-autonomy, high-ambition, comfortable with ambiguity, aligned with the mission. Employees recruited at headcounts of 20, 50, and 100 are less likely to have that profile, and if organisational processes, culture, and management capability have not scaled to accommodate a more diverse workforce, the cultural coherence of the early team degrades. The result is the “scaling organisation” problem — a company that was excellent at 20 people and mediocre at 80, not because the people changed but because the management infrastructure did not keep pace.
The practical interventions at this stage are: process documentation for core functions (covered in the systems article in this hub), a deliberate approach to management layer development rather than promoting the best technical people into management roles by default, and an intentional approach to culture — not posters and values statements, but the specific norms of behaviour, decision-making, and communication that the founders want to preserve as the company grows.
Revenue scaling — the operational and commercial machinery that converts product usage into consistent revenue growth — is where many technically-led businesses reveal their commercial immaturity. A sales process that worked when the founders were personally closing every deal may not transfer to a sales team. A pricing model that seemed reasonable at early customer counts may have structural problems that become apparent at scale. Customer success processes that were informal at 20 customers may produce unsustainable churn at 200. Each of these is a solvable problem, but they need to be identified and addressed as the business scales rather than after churn spikes and revenue growth stalls.
The specific growth metrics that matter for UK tech businesses at this stage — and that will be scrutinised at the next funding round — are monthly recurring revenue (MRR) and annual recurring revenue (ARR) growth rate, net revenue retention (what existing customers are worth this year versus last year, including expansion revenue), customer acquisition cost (CAC) by channel, customer lifetime value (LTV), and the LTV: CAC ratio. A SaaS business with an LTV: CAC ratio below 3x has a structural commercial problem. A SaaS business with net revenue retention above 110% — meaning existing customers are growing their spend faster than others are churning — is demonstrating product-led growth, which is one of the strongest signals available to a growth-stage investor.
Stage 5: Exit Preparation — The Stage Most Founders Start Too Late
Most tech founders think about exit preparation when a potential acquirer approaches or when the business reaches a point where they begin exploring options. By that point, a significant amount of value-creation opportunity has already been missed.
Exit preparation is not an event — it is a multi-year process of building the documentation, financial performance, commercial position, and organisational structure that maximises the valuation multiple at the point of sale. Businesses that begin exit preparation two to three years before the anticipated exit date consistently achieve better outcomes than those that begin it when the conversation starts.
The three primary exit routes for UK tech startups are trade sale, private equity acquisition, and IPO, each with meaningfully different preparation requirements.
A trade sale — acquisition by a larger business in the same or adjacent sector — is the most common exit route for UK tech businesses below a certain scale. Acquirers are typically paying for one or more of the following: proprietary technology or IP, customer relationships and ARR, technical talent, a market position that accelerates their own strategy, or the elimination of a competitive threat. The preparation that maximises trade sale value is built around making each of these assets as legible and defensible as possible — documented IP, clean contractual customer relationships with assignable contracts, key person risk reduced through team depth, and a clear articulation of the strategic value to likely acquirers.
Private equity acquisition is the route for tech businesses with strong ARR, positive EBITDA or a clear near-term path to it, and a growth plan that does not require the kind of patient capital loss-making that VC-backed growth strategies sometimes involve. PE acquirers are financial buyers rather than strategic ones — their valuation is driven by the financial model and the quality of the recurring revenue, rather than the strategic fit that drives trade sale valuations.
IPO is the exit route for a small minority of UK tech businesses, and the preparation requirements are substantially more intensive than for a trade sale or PE acquisition. The financial reporting standards, governance requirements, and investor relations infrastructure required for a listed company are materially different from those required for a privately held business, and the transition typically requires 2 to 3 years of preparation.
The universal exit preparation activities — relevant regardless of the intended route — are as follows.
Clean up the legal house. All customer contracts should be in place and up to date. Intellectual property ownership should be clearly assigned to the company—code written by contractors under agreements that don’t properly assign IP poses a significant due diligence risk. Employment agreements should be current and include appropriate IP assignment and non-compete provisions. Any disputes or potential disputes should be resolved or documented.
Build financial clarity. EBITDA, ARR, gross margin, and other financial metrics used by acquirers and investors to assess value should be accurately tracked and reported in a format immediately legible to external parties. The financial model should be able to demonstrate the business’s performance at any level of granularity that due diligence might require. Audited accounts for the preceding two to three years are typically expected in any serious exit process.
Reduce key person dependency. A business whose commercial success, customer relationships, or technical capability is concentrated in one or two individuals carries a structural risk that acquirers will discount heavily. The exit preparation process should systematically identify and reduce key-person dependencies through team building, documentation, broadening customer relationships, and developing management depth that makes the business viable without the founders in their current operational roles.
Build the strategic narrative. Every acquirer or investor assessing an exit opportunity is asking: what is this business worth to us, and why? The strategic narrative — the account of what the business has built, what market position it occupies, what the assets are worth, and what the acquirer could do with those assets that they could not do without them — is the document that shapes the valuation conversation. It should be developed with the same rigour as an investor pitch and designed from the perspective of the most likely acquirer type, not the founders’.
UK Tech Ecosystem Resources Every Founder Should Know
The UK’s support infrastructure for tech founders is genuinely excellent by international standards. The following resources are directly relevant to the blueprint stages covered above.
Innovate UK provides grants and funding for UK businesses developing innovative technology, including R&D grants, Innovate UK Smart Grants, and the Catapult Network which provides specialist technical infrastructure and collaboration opportunities. For tech businesses with genuine innovation in the R&D sense, Innovate UK should be assessed at every stage of development.
R&D Tax Credits — formally the Research and Development Expenditure Credit (RDEC) for larger businesses and the SME R&D Relief scheme for qualifying smaller businesses — allow UK companies to claim back a significant portion of qualifying R&D expenditure either as a tax reduction or as a cash credit. For early-stage tech businesses, spending on software development that meets the qualifying criteria (genuine advancement in scientific or technological knowledge, not routine development) can make R&D tax credits a meaningful non-dilutive capital source. HMRC’s guidelines on what qualifies are specific, and the claims require careful preparation, but the financial impact is significant enough to warrant taking professional advice.
SEIS and EIS have been covered in the fundraising section. Both schemes make UK angel investment substantially more attractive, and qualifying for them should be prioritised early in the fundraising preparation.
Tech Nation (now part of the Digital Economy Council’s ecosystem) and the various regional tech networks — TechNorth, TechSouthWest, Silicon Roundabout in London, the Cambridge cluster, Oxford’s thriving deep tech scene — provide community, investor access, and visibility that are material advantages for founders who engage with them rather than building in isolation.
UK Research and Innovation (UKRI) is the parent body that oversees Innovate UK, the seven Research Councils, and Research England. For deep tech, life sciences, and cleantech startups with genuine research origins, the UKRI funding landscape — including the Future Leaders Fellowship for academic founders and the Faraday Battery Challenge for energy technology — provides non-dilutive capital that can significantly extend runway without equity cost.
Frequently Asked Questions
At what stage should a UK tech startup incorporate as a limited company rather than operating as a sole trader or partnership?
For any tech business intending to raise external equity, the answer is: as soon as possible, and before any meaningful development work is done. Equity investment requires a company structure with a defined cap table. IP created before incorporation is technically owned by the individual who created it and must be formally assigned to the company, which introduces legal complexity and due diligence risk. Incorporation is straightforward and inexpensive in the UK, and there is no commercial reason to delay it if external equity is part of the plan.
What is the typical equity stake an investor takes at the seed stage in the UK?
Seed rounds in the UK typically involve investors taking a 15% to 25% stake in the company, depending on the agreed pre-money valuation and the investment amount. The pre-money valuation at the seed stage is a negotiation, not a formula, and it reflects the investor’s view of the opportunity, the team, and the technical capability relative to the risk. SEIS qualification caps the company’s gross assets at £350,000 before the investment and requires the company to have fewer than 25 employees, which sets a natural boundary on when SEIS investment is appropriate. Taking legal and financial advice before agreeing to any term sheet is strongly recommended — the terms agreed at the seed stage have long-term consequences that are not always visible at the point of agreement.
How important is a co-founder with a commercial background for a technical founder?
Significantly important, and the data on single-founder versus multi-founder success rates make this clear. Not because a technical founder cannot develop commercial capability — some of the most commercially effective tech founders are technically trained — but because the breadth of skills required to build a fundable, scalable tech business is genuinely broader than any single person typically has at the level of depth required. A co-founder who is specifically strong in go-to-market, sales, and commercial strategy, while the technical founder owns the product and engineering, allows both functions to operate at their best. The alternative — a technical founder trying to be equally strong in both domains while building the company — produces either a slower commercial pace or a less technically excellent product, and often both.
When should a UK tech startup consider an acqui-hire versus a trade sale?
An acqui-hire — where the acquiring company is primarily buying talent rather than technology or the customer base — is typically a suboptimal outcome from a financial perspective, because the team is sold at a price closer to replacement cost than to a multiple of revenue or earnings. It tends to happen when the product has not yet reached the commercial traction needed to support a revenue-based valuation, but the team is genuinely strong. The situations where an acqui-hire is the best available outcome are: the product is not commercially viable in its current form, and a pivot would require capital that is not available; the market timing is wrong and waiting for the market to develop is not financially feasible; or the founders’ personal runway is exhausted, and the alternative to acqui-hire is dissolution. If none of those applies, a trade sale or continued independent operation is almost always preferable.
What is the single most important thing a UK tech founder should do differently from what most of them do?
Start every product and commercial decision with the customer problem, not the technical solution. The tech founder instinct — build first, find customers for what you have built — is the source of most of the commercial failure modes described in this blueprint. The businesses in the SGI portfolio that have achieved the strongest commercial outcomes are universally those where the founders spent as much time understanding and validating the customer problem as they spent building the solution. That discipline is uncomfortable for technically-trained people because it requires operating in ambiguity rather than in the precision of code. But it is the discipline that separates technically excellent businesses that scale from those that do not.
References
- UK Intellectual Property Office, https://www.ipo.gov.uk — official guidance on UK patent, trademark, design right, and copyright registration and protection
- HMRC, Research and Development Tax Relief, https://www.gov.uk/guidance/corporation-tax-research-and-development-rd-relief — official guidance on R&D tax relief for UK SMEs and large companies
- Innovate UK, https://www.ukri.org/councils/innovate-uk/ — UK government’s innovation agency, grants, competitions, and support programmes
- HMRC, Seed Enterprise Investment Scheme, https://www.gov.uk/guidance/venture-capital-schemes-apply-to-use-the-seed-enterprise-investment-scheme — SEIS guidance for UK companies and investors
- HMRC, Enterprise Investment Scheme, https://www.gov.uk/guidance/venture-capital-schemes-apply-for-the-enterprise-investment-scheme — EIS guidance for UK companies and investors
- Beauhurst, “The Deal: UK Startup and Scaleup Ecosystem Report 2024”, https://www.beauhurst.com — annual data on UK startup investment volumes, deal structures, and sector activity
If you are building a UK tech startup and want commercial strategy and investor documentation that matches the quality of your technology, our startup consultants have supported Cambridge University spin-outs, regulated fintech businesses, construction technology platforms, and drone technology companies through the exact journey this blueprint describes. We know what institutional investors in the UK require at each funding stage, and how to build the documentation that meets those standards.
When the time comes to prepare for your first or next equity round, our business plan writers produce the investor-grade business plans and financial models that have secured funding from Atomico, Balderton, Index Ventures, and Octopus Ventures — not because we write compelling copy, but because we build commercial cases grounded in validated evidence at the level of rigour those investors apply.
And if your tech business is at a growth stage and the commercial infrastructure — the processes, the financial systems, the management structure, the exit preparation — has not kept pace with the product, our business consultants work with established tech businesses on exactly these operational and commercial challenges.
Kurt Graver is the founder and CEO of SGI Consultants, a business consultancy that has helped over 2,000 entrepreneurs establish successful startups using systematic business development methodologies. An accountant with an MBA and 25 years of commerce and consultancy experience, Kurt specialises in strategic planning, market analysis, and sustainable business growth