Proof / Sample Report

See what your investment committee will receive.

Real structure, real depth, redacted client. Every TSA report is built to be read by decision-makers, not just engineers. The extracts below are from a genuine redacted sample — Project Atlas, a Series A platform.

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Redacted sample due-diligence report with a RAG scorecard
Sample · Project Atlas (Series A)

Inside a TSA report

Click any section to read a real extract from the redacted sample. Overall Technology Value Gauge score: 77% — Good standing, on par with same-stage Series A peers.

Project Atlas scores 77% — Good standing — on the Technology Value Gauge, on par with same-stage Series A peers. The score is built from four quadrants: Users & Data 80, Product 76, Process People & Potential 76.6, and Technology Infrastructure 76.8. Four technical findings warrant priority remediation and are laid out for the Sponsor throughout the report.

The assessment identified 1 Red flag, 14 Amber flags and 9 Green strengths across the platform. The single Red flag concentrates on the core event-delivery path — a highest-priority must-fix calibrated for ad-data stakes, not a stability crisis. The three high-priority Amber flags concern the missing AI evaluation-and-safety layer, platform disintermediation risk, and recoverability that is documented but not yet demonstrated.

Solution Architecture is assessed across system design, hosting & environments, redundancy and DR posture, and scalability headroom. Infrastructure Costs is the strongest block at 87 / 100, with a forward cost model reviewed for unit economics — the material exposures concentrate outside the codebase.

Tech Stack & Code Quality scores 80 / 100. An independent expert judged the code "pretty clean" in a live, unscripted walkthrough. The gap is assurance depth: no dedicated QA function, most packages carry no test-coverage gate, and roughly 80% of recent pull requests are AI-generated — raising regression exposure precisely as AI-assisted velocity increases.

Security Aspects: 75 / 100 — Good. A clean, independently audited (SOC 2) baseline that is unusually strong for the stage, offset by a home-grown identity stack without enterprise features, single-layer tenant isolation in a shared multi-tenant database, and privacy compliance that trails the company's privacy-first positioning.

Artificial Intelligence: 74 / 100 — Good. Pragmatic, genuinely shipped LLM features and an unusually strong internal agent-building culture, set against the absence of proprietary ML in production and a governance / evaluation-and-safety layer that must be built from near zero before the roadmap's autonomous ambitions ship (Flag F-02).

Team Knowhow & Potential is assessed across composition & knowhow, bus-factor & key-person risk, and hiring & organizational build-out. The team shows demonstrated shipping velocity, with overcommitment risk for the current team size flagged against the roadmap.

Recommendations consolidate into three horizons: delivery-path & resilience work that protects current revenue lands first; trust & scale work that unlocks the enterprise pipeline second; strategic agentic-era work third. Immediate actions (0–3 months) begin with executing the delivery-path remediation program. None of the items is a deal-breaker.

Expert Opinion: the differentiation thesis rests on four accumulating assets — privacy & consent knowhow in the market that matters, a proprietary data asset, an operational connector network, and evidenced shipping velocity. Road Map & Vision scores 80 / 100; roadmap credibility here is evidenced rather than asserted.

Extracts are from a redacted, anonymized 31-page sample. Verbatim evidence and the scoped remediations for every flag are withheld in the public sample.

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