Platform and API work
Design and build APIs, background jobs and data models that other teams can rely on, with clear contracts and tests that catch regressions early.
SaaS products live or die on reliability, speed and the pace of new features. We help technology teams ship dependable software and apply AI where it measurably improves the product.
Technology companies rarely need help starting a codebase. They need help keeping it healthy while the roadmap keeps moving: new features, integrations, reporting, onboarding, pricing changes. That is where a senior engineering partner changes the outcome. We join your team, learn the domain and take ownership of the parts that need to move, without adding process that slows you down. We also leave the codebase in a state your own engineers can extend.
AI belongs in a SaaS product only when it earns its place. We start with a narrow problem such as search, support triage or document handling, measure the current baseline and build from real examples. If the model is not good enough yet, we say so. When it is, we put it behind clear guardrails and keep evaluating it after launch.
We plug into your roadmap, pick up tickets and ship behind your existing review and release process.
Multi-tenant data models, role-based access and audit trails designed in from the start, not added after the first security review.
APIs, webhooks and connectors built with clear contracts, retries and observability, so each new integration adds value instead of maintenance.
Assistants and agents scoped to defined tasks, with evaluations, cost limits and human review where the output reaches customers.
Architecture notes, runbooks and clear documentation, so your team understands the system long after the project ends.
CI/CD, automated tests and staged rollouts that keep shipping predictable, even when several teams commit to the same product.
The work tends to cluster around a few recurring problems.
Design and build APIs, background jobs and data models that other teams can rely on, with clear contracts and tests that catch regressions early.
Add search, drafting, summarization or agent workflows to your product, scoped to one job and evaluated against real usage before release.
Rework signup, trials, plans and invoicing so the product handles growth without manual work from your support and finance teams.
Untangle legacy services, reduce operational toil and move the product toward a stack your team can hire for and maintain.
We review your roadmap, architecture and release process, then agree on the first slice of work and how we will measure it.
Together with your engineers we shape the approach, naming trade-offs in writing and testing the riskiest assumptions with a small prototype.
We work in short iterations inside your tools, open pull requests, join standups and demo working software at the end of each cycle.
We stay through launch, watch the metrics and hand over clean documentation, tests and runbooks your team can own.
Yes. Most engagements start in code you already run. We follow your conventions, branch and review process, and leave the codebase easier to work in.
We are glad to sign an NDA before any technical discussion. We can also follow your security review, access policy and procurement steps as part of onboarding.
That is a normal starting point. An assessment can map the options, risks and costs before anyone commits to building, and it often ends with a clear recommendation not to build.
We track cost per request and per user, set limits and fallbacks, and prefer smaller models where they meet the quality bar. Cost is part of the design, not a surprise after launch.
Tell us where the product is stuck. We will reply with a clear view of the options and the first step we would take.