ArchetypeTechBook a call

What we do.

Four kinds of work, roughly in the order they happen. Most companies start with the diagnostic, because choosing what to do next is easier once the evidence is in front of you.

01

We find the constraint

A read on what is actually holding the company back, tested against your systems, your repositories, and your numbers rather than assumed from the outside.

  • FAST Diagnostic

    Where is the company actually strained?

    The paid instrument behind the free scorecard. We test each of the six dimensions against your systems, your repositories, and your numbers, then hand you a maturity read with the confidence of every finding made explicit and an ROI model behind the order of work.

02

We settle the direction

The decisions that determine what gets built and why, from the wedge itself to the shape the product should take now that AI is on the table.

  • Venture Foundation

    Do we have a venture-scale company?

    Wedge and problem refinement, ICP and customer workflow mapping, market and category analysis, competitive positioning, business model and initial pricing, and the milestones that follow from them.

  • Research Commercialization

    Can this research become a company?

    Commercial thesis and wedge selection across the applications the research could support, the shape of the founding team, the path from lab-grade work to a deployable product, the sequencing of non-dilutive funding, and a clear recommendation between building a company and licensing the work. Run alongside the researchers and the technology transfer office, and payable from the research grant that already funds the work.

  • AI-Native Product

    What should the product be, given AI?

    Identify the highest-value AI workflows, decide between SaaS, AI-assisted, and AI-native architecture, design the agents and copilots, settle the context and model strategy, define human-in-the-loop controls and an evaluation framework, then sequence the build.

  • SaaS to AI Transformation

    How does our SaaS company become AI-native?

    Audit the existing product, identify the workflows AI can own, re-architect those modules, orchestrate the agents and tools, settle data and context architecture, plan model routing and fallback, and model the effect on cost and gross margin.

03

We get you through the gate

Every stage ends at a gate, whether that is an accelerator, a Series A, or the scale the last round assumed you would reach. This is the work of arriving with the evidence the gate asks for.

  • Accelerator & Investor Readiness

    Can we be competitive for the programs and investors we want?

    Company diagnostic, founder-market-fit narrative, and wedge refinement, then application strategy for whichever gate you are aiming at, whether that is Y Combinator, Speedrun, HF0, PearX, Neo, CDL, Techstars, an angel group, or a pre-seed fund. Full application and materials review, demo and founder video preparation, challenge sessions, and repeated mock interviews. It ends with the fundraising readiness that follows either outcome.

  • Series A Readiness

    What has to be true to raise an A?

    Gap analysis against Series A benchmarks, evidence of product-market fit, go-to-market repeatability, revenue quality, the hiring and operating plans, financing strategy, and the investor narrative that ties them together.

  • Growth Readiness

    Will the growth engine survive diligence?

    Revenue quality and channel diversification reviewed the way the next round will review them, proof that the acquisition motion repeats without a founder in the room, and the growth narrative that carries the numbers into the raise.

  • Scale Readiness

    Will the company survive the next three times?

    Organizational design and decision rights, management cadence, KPI architecture, the hiring plan, cross-functional workflows, and the operating bottlenecks that surface when headcount outruns process.

04

We stay while it holds

Executive judgement on a weekly cadence, for companies that need the decisions made well before they can justify the salary that usually comes with them.

  • Acquisition Systems

    Can we grow revenue without breaking the unit economics?

    Positioning and messaging that carry into every channel, organic growth through search and generative engine optimization, and paid strategy and execution across search, social and platform channels chosen for where this company's customers already are. Run against CAC payback, retention and lifetime value, with the tracking infrastructure to measure honestly which channel produced which revenue.

  • Fractional Executive

    Who owns this until we can hire for it?

    Weekly executive leadership on a technology track or a strategy track. Roadmap ownership, architecture or go-to-market decisions, hiring support, and board and investor preparation, for companies that need the judgement before they can justify the salary.

Who does the work

Built from both sides of the table.

ArchetypeTech's range is not one person claiming to cover everything. It is two perspectives that most companies have to buy separately, brought to the same problem at the same time.

  • The builder's perspective

    Kowsheek Mahmood

    Founder & Operating Partner

    Kowsheek is a technical founder and operator who has built products, led engineering teams, and advised startups as a fractional CTO across software, cloud, and emerging technologies. At ArchetypeTech, Kowsheek works directly with founders on product, engineering, AI architecture, and the operating systems a company needs before it can scale.

    Kowsheek asks

    Can this be built, and will it hold when it grows?

  • The investor's perspective

    Dinar Ahmed

    Venture Advisor

    Dinar is a venture investor focused on early-stage technology companies. Dinar brings the institutional-capital lens to ArchetypeTech's work on market attractiveness, positioning, business model, fundraising readiness, and the milestones a company has to clear to move from pre-seed through Series A.

    Dinar asks

    Will investors believe this becomes a company that matters?

One sees what has to be built. The other sees what has to become investable. ArchetypeTech brings both into the same room.

Scope and cost are settled on the call, once we know which constraint we are solving. The diagnostic fee credits against whatever follows if you start within thirty days.

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