We help B2B SaaS companies ship AI features, navigate acquisitions with confidence, and build engineering organizations that scale. Whether you need a focused engagement or ongoing technical leadership, we bring the hands-on experience to get it done.
Assess, plan, and ship AI — from readiness evaluation to production deployment.
We help you move from "AI on the roadmap" to AI in production. Whether you need to evaluate your data and infrastructure, build a technical strategy, ship a RAG chatbot, or embed AI capabilities directly into your product — we bring the engineering depth to make it real.
Data, infrastructure, and use-case evaluation with a prioritized roadmap in 2 weeks.
Production-ready chatbot on your data, in your cloud, in exactly 2 weeks.
Model selection, build-vs-buy analysis, and phased implementation planning.
Embed AI into your existing product — search, classification, generation, and more.
Whether you're buying, selling, or integrating — technical diligence is where deals are validated or derailed. We provide the technical ground truth that acquirers need to negotiate with confidence, sellers need to protect their valuation, and combined organizations need to execute a successful integration.
Code, architecture, infrastructure, and team assessment for acquisition decisions.
Technical gap analysis and implementation roadmap for compliance in 2-3 weeks.
Prepare your tech stack and operations for acquisition or fundraising scrutiny.
Merge codebases, consolidate infrastructure, and retain engineering talent.
Technical diligence for buyers, sellers, and post-deal integration.
Senior technical leadership without the full-time hire.
Not every company needs a full-time CTO, but every company needs technical leadership. We embed as a fractional CTO — architecture decisions, team building, vendor selection, and code reviews — on a retainer that scales with your needs. Build the engineering organization your business deserves.
Architecture, technology strategy, and engineering culture on a retainer.
Hiring strategy, team structure, and mentoring for growing engineering orgs.
Independent evaluation of tools and platforms — no affiliate bias.
Periodic deep-dives into system health, code quality, and technical debt.