Services
AI development services
LLM features that survive contact with real users: document intake, retrieval, support automation. We'll also tell you when a cron job beats a chatbot.
- Free 30-minute scope call
- Quote within 48 hours
- Typical build 3–8 weeks
What we ship
- LLM product features
- Summarization, extraction, drafting, and review embedded where your users already work, not bolted on as another chat window.
- Document automation
- Intake pipelines that read contracts, invoices, and forms, pull out the fields that matter, and route the exceptions to a human.
- RAG pipelines
- Retrieval over your documents that cites its sources, refuses gracefully, and stays current as content changes.
- Agentic workflows
- Agents with tools, budgets, and audit trails. Autonomy where it is safe, a human in the loop where it is not.
- Evaluation & guardrails
- Every feature ships with an eval suite and cost ceilings, so you know it works before your customers find out it does not.
- AI enablement & training
- Tooling, evals, and hands-on workshops set up inside your team, built around your systems rather than toy examples.
How we build AI systems
We build with LLMs daily and we are allergic to demos that fall apart in production. The difference between the two is rarely the model. It is evaluation, guardrails, and honest scoping, so that is where our AI projects start.
Roughly a third of the AI projects that reach us ship better and cheaper as ordinary software, and we say so on the free scope call. When AI is the right tool, we quote a fixed price within 48 hours and demo working software weekly: real documents through the intake pipeline, real questions against the retrieval system, real costs on a dashboard.
Everything ships with an evaluation suite, spend limits, and audit trails, and it all runs in your accounts with your keys. When the engagement ends, your team owns a system it can measure, extend, and afford.
Fair questions
Anything not covered here is a quick note to hello@insetix.com.
What do AI development projects cost?
Focused builds like a document intake pipeline often land in the $15k to $40k range; broader AI systems run higher. As with all our work, the price is fixed in writing before the project starts.
Do we actually need AI for this?
Maybe not. Roughly a third of the AI projects that reach us ship better and cheaper as ordinary software. The scope call is free and you get an honest read either way.
Which models and providers do you work with?
The major commercial models and open-weight models, chosen per task for quality, latency, and cost. We design so you can switch providers later without rebuilding, and API keys and spend stay in your accounts.
How do you keep an LLM feature from embarrassing us?
Evaluation suites run before every change, retrieval cites its sources, agents get budgets and audit trails, and anything high-stakes keeps a human in the loop. If a failure mode cannot be controlled, we tell you before building it.
Tell us what you're building.
Three sentences is plenty. Scope call within days, a written fixed-price quote 48 hours after it.