Consultancy
Software development consulting, pre-investment technical due diligence, and AI strategy. Hands-on engineering and strategic guidance for founders, investors, and product teams who need an experienced second opinion.
Software development consulting
Hands-on engineering guidance for teams shipping non-trivial software — architecture, code review, technical hiring, and delivery cadence.
What it covers
- Architecture and technology selection for greenfield projects
- Code review and refactoring guidance for in-flight codebases
- Hiring help — interview design, technical screens, scorecard calibration
- Delivery cadence and team-process tuning (sprint shape, code review SLAs, on-call posture)
Who it's for
Series A–C founders without a CTO yet, mid-stage scale-ups whose first engineering lead is stretched thin, and product teams shipping a re-platform without dedicated architecture support.
How it works
Typically a 4–12 week engagement, part-time. Starts with a one-week assessment, ends with a written handoff your team can act on. Retainer extensions are common but never required.
Pre-investment technical due diligence
Independent technical assessment for VCs, family offices, and strategic acquirers evaluating a software-heavy target.
What it covers
- Codebase quality, test coverage, and architectural risk assessment
- Security and infrastructure posture review (data handling, secrets, runtime hardening)
- Engineering-team and process maturity assessment
- Roadmap credibility — does the technical plan match the business plan?
- Written report with severity-ranked findings and a recommended deal-impact summary
Who it's for
Investors at the term-sheet or LOI stage who need an independent technical read before committing capital. Typical check size: $5M–$50M.
How it works
Compressed: 2–3 weeks from kick-off to written report. Includes target-team interviews, codebase walkthroughs, and a final read-out call with the investor team.
AI strategy
Strategic guidance on where AI fits (and where it does not) in your product, your team, and your roadmap.
What it covers
- AI-readiness assessment for your product surface and your data
- Build-vs-buy decisions for foundation models, fine-tuning, and AI infrastructure
- Risk and governance posture (bias, privacy, hallucination tolerance, evaluation harnesses)
- Roadmap shape — what to ship in the next 90 days, the next 12 months, and what to avoid
Who it's for
Product and engineering leaders who suspect AI matters for their next phase but want a sober second opinion before committing budget. Works equally well for "we should be doing more AI" and "we are doing too much AI" framings.
How it works
Strategic, not implementation: 4–8 weeks, ending in a written plan plus an internal stakeholder presentation. Implementation guidance available as a separate Software Development engagement if useful.
Want to work together?
Tell us what you're working on. We read every email; we reply to every fit.