Add AI features to your SaaS — without the cost surprises.
We ship AI features inside your existing product: copilots, summaries, generation and smart actions — streamed, cost-tracked per request, versioned, and rolled out behind feature flags.
Julian Lopez · Founder & lead AI engineer · 3 years building AI for a 1M+ learner platform
Why most of these projects stall.
Fast in staging, slow in production.
Users wait for a spinner instead of watching the answer stream in.
A token bill that outgrows usage.
No caching, no per-request tracking, no idea which feature costs what.
Prompt changes break things silently.
Without versioning and evals, a small edit can degrade every user's output.
Work behind it.
AI features for 1M+ learners
Three years helping ship AI into a US EdTech product: fast streaming answers, cost tracked per request, gradual rollouts, and AI search over learning content.
Orbiill
A cited AI assistant built into a SaaS billing product, next to the pricing editor — not a separate chatbot page.
Read the case study →
Features we add
In-app copilot
An assistant that understands the screen your user is on and can take actions for them.
Summaries & generation
Drafts, summaries and rewrites inside your existing workflows.
Classification & tagging
Automatic routing, tagging and extraction on the data you already collect.
Agent-ready APIs (MCP)
Let Claude, ChatGPT and your customers' agents use your product through an MCP server.
Measured at every step. Evals, not vibes.
Pick the feature
The AI feature with the clearest value for your users — scoped in writing.
Prototype on real data
Quick proof on your data before we commit to the full build.
Ship it properly
Streaming UX, caching, per-request cost tracking and prompt versioning.
Roll out safely
Feature-flagged release, evals in CI, and a dashboard your team can read.
Priced up front, in writing.
AI for SaaS
- Fixed scope, timeline and price before you commit
- Milestones with written acceptance criteria
- Code, docs and quality tests are yours
AI Production Audit
Already have a prototype? In five business days we measure quality, cost and latency, and hand you a prioritized, fixed-price plan.
See what's in the audit →Introductory founding-client rates, for up to three portfolio partnerships — in exchange for a case study if the work produces useful results.
Send a project brief
Tell us about your product, the AI feature you have in mind, and your stack. We reply within one business day.
Questions, answered.
Will it work with our stack?
Most likely. We work in TypeScript/Next.js and Node day to day, and integrate with Python or other backends through clean APIs.
Which model should we use?
We test Claude, OpenAI and Gemini on your real inputs and pick by quality, latency and cost — and keep it swappable.
Is our customers' data safe?
Where providers expose those controls, we configure and document data-retention and training settings, keep secrets out of code, and scope compliance needs (SOC 2, HIPAA) up front.
How do you keep costs down?
Prompt caching, the smallest model that passes the evals, and per-request cost tracking so you can see spend by feature.
Tell us what you're building.
Book a free 30-minute call. You'll get a straight answer — and, if it's a fit, a concrete fixed-price plan. Sometimes the answer is "you don't need us."