Add AI to the product you already ship.

You do not need a greenfield rebuild to ship useful AI features.

We work inside existing codebases to add search, recommendations, summarization, copilots, and classification with the engineering discipline product teams expect.

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What this includes

What we actually deliver.

Feature discovery and feasibility mapping
LLM, embedding, or retrieval architecture
Integration into your existing frontend and backend
Guardrails, analytics, and fallback behavior
Launch support and iteration plan

Who this is for

SaaS teams adding AI without hiring a dedicated ML org
Product teams that need speed without technical debt
Founders upgrading mature software with AI-native flows

What you get

Feature spec and implementation plan
Production AI feature inside the existing product
Measurement and safety framework

Delivery shape

A process built to stay legible.

Discovery, architecture, and staged delivery keep the work visible while the system is still being built.

Discovery: map the workflow, scope the system, define success.

Architecture: select the stack, data flow, and integration points.

Build and launch: ship in stages, deploy with monitoring, and support after go-live.

Need ai integration that can survive production?

Let’s scope what’s possible.

If this is the part of the stack you need solved, we can scope it directly and tell you whether it makes sense.

Book a Discovery Call Start with an Audit