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Custom AI software your team actually owns.

Thallon designs and builds production AI software for US businesses: systems that answer from your own data, internal tools, live dashboards, and the integrations between them. Built end to end on our own architecture, not assembled from rented wrappers, and it stays yours.

Your stack

HubSpot
Shopify
QuickBooks
Google Calendar
WhatsApp

Thallon architecture

Ingestion pipelineYour documents, catalog, and history, structured and kept current
Grounded knowledge baseAnswers cite your data, or say "I don't have that"
Guardrails and evaluationsExplicit boundaries, tested before anything goes live
Monitoring and measurementEvery run logged against the number we agreed on

What your team gets

A live dashboard of the operation
An assistant that knows the business
Reports that write themselves
Code and data you own outright

Thallon builds four kinds of production AI software: knowledge systems grounded in your own data, internal tools shaped around your operation, live dashboards, and the integrations that connect all of it to the stack you already run. You own everything we ship.

Knowledge systems

AI that answers from your documents, your policies, your catalog, your history. Grounded in your actual data so it cites what it knows and says so when it doesn't, instead of inventing an answer.

Internal tools

The tool your team wishes existed: quoting assistants, intake processors, document readers, review pipelines. Software shaped around how your operation already works, not the other way around.

Dashboards

A live view of the operation: what the systems handled, what converted, where the exceptions are. The state of your business on one screen, fed automatically.

Integrations

The connective tissue between AI and your stack. CRM, calendar, payments, messaging, accounting: the system reads from and writes to the tools you already trust.

What does "you own it" actually mean?

The system is yours: code, data, and configuration. We build on our own architecture instead of reselling a wrapper, so there is no per-seat license that triples next year and no platform that can sunset your workflow. If we disappeared tomorrow, your system keeps running.

How is this different from hiring a ChatGPT consultant?

A prompt is not a system. Anyone can call a model. We engineer the architecture around it: data pipelines, guardrails, integrations, monitoring, and measurement. That is the difference between a demo that impresses in a meeting and software that runs your operation in production.

What happens with our data?

It stays yours and it stays scoped. Your data is used to run your system, not to train public models. Access is limited to what the system needs, and we walk you through exactly where every piece lives before anything goes live.

All questions, answered

A 30-minute working session: we map where your operation leaks revenue and what a system to catch it looks like.