Services · AI integration

AI integration for startups

Real AI woven into your product — chat, generation, automation — wired to your data and shipped to production. Not a demo, not a wrapper: a feature your users rely on. AI is where we go deepest, and it's the work that moves a product furthest.

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Who it's for

Founders who can see AI belongs in their product but don't want a science project — you want a feature that works, costs what it should, and ships. Whether that's an LLM assistant over your data, generative media, or automating the busywork in your ops.

The problem

Most AI features die between the impressive demo and production — hallucinations, runaway costs, latency, no evaluation. We treat AI like the rest of the system: grounded in your data, measured against real cases, and engineered to be reliable and affordable at scale.

What you getWhere AI actually pays off
(01)LLM features over your dataAssistants and search grounded in your content with retrieval — answers from your data, not the model's imagination.
(02)Generative pipelinesImage and content generation tuned to your brand and wired into your product flow, not a side toy.
(03)Automation that removes workQuietly automate the repetitive steps in your ops — the unglamorous wins that compound.
(04)Grounded & evaluatedGuardrails and an evaluation harness so quality is measured, not hoped for, before it reaches users.
(05)Cost & latency under controlRight-sized models, caching and fallbacks — so the feature stays fast and the bill stays sane.
(06)Shipped to productionMonitored, versioned and maintained — the same standard as the rest of your stack.
How we workFrom idea to shipped feature
  1. 01

    Find the payoff

    We pick the one AI use case with the clearest return — and rule out the ones that won't pay.

  2. 02

    Prototype on real data

    A working slice on your actual data, measured against cases you care about.

  3. 03

    Harden

    Guardrails, evaluation, cost and latency tuning until it's production-grade.

  4. 04

    Ship & monitor

    Into production, with monitoring so quality and cost stay visible.

Selected workAI we've shipped
Mind ToyFine-tuned Stable Diffusion in a Discord-native tool — open-source on GitHubView case ↗DatagateConversational AI layer reading 10 live dashboardsView case ↗Plastic AlchemyGenerative AI co-design trained on artists' stylesView case ↗

We've also shipped AI work touching BNB Chain and Scenario, and a custom chatbot built from scratch for a digital artist.

FAQ

Which AI models do you use?

Whatever fits the job and the budget — we default to the latest, most capable models (including the Claude family) and drop to smaller or open models where they're good enough. We're not tied to one vendor.

Will it leak our data into a model?

No. We use providers and configurations that don't train on your data, and for sensitive work we can keep retrieval and inference on infrastructure you control.

How do you stop hallucinations?

We ground answers in your data with retrieval, constrain what the model can say, and run an evaluation suite against real cases — so quality is measured before it ships, not after users complain.

Is AI worth it for my product?

Sometimes the honest answer is no, and we'll tell you. When it is, we start with the single use case that has the clearest return rather than sprinkling AI everywhere.

Where should AI live in your product?

Tell us the workflow you'd want to change. We reply within one business day.

Start a projectBook a 15-min call