Tool-calling assistants
Chat assistants that call your own functions through function calling, with the model deciding when to look up an order, book a slot or update a record.
AI platforms
OpenAI development.
OpenAI models are a strong default when you need broad general ability, reliable tool calling and a mature API with good tooling around it. We reach for them in assistants, extraction and voice features where the surrounding SDK support saves real engineering time.
A short call. Your first build, a fixed quote, and the timeline. No obligation.
What we build with OpenAI
Where it fits.
Schema-bound extraction
Invoice, form and email parsers that use structured outputs with a JSON schema, so every response validates before it touches your database.
Realtime voice agents
Low-latency speech-in, speech-out agents built on the Realtime API, with interruption handling and a tool layer behind the conversation.
Embedding-based search
Semantic search and retrieval over your documents using embeddings stored in pgvector or a dedicated vector store, with reranking on top.
When it is the right choice
Choose OpenAI when
- →You want the broadest ecosystem of SDKs, examples and third-party integrations.
- →You need dependable structured output or function calling in production.
- →You want one vendor for text, vision, speech and embeddings.
Worth knowing
Honest trade-offs.
- →Hosted models change over time, so we pin model names and keep an evaluation set to catch behaviour drift.
- →Data leaves your environment, so regulated workloads may need an Azure-hosted or self-hosted alternative.
Often paired with
PostgreSQLpgvectorLangChainPythonNext.jsRedis
Related services
Services that use it.
Proof
Work built by the same team.
Closeum
13+ connected modules from calls through commissions
13+connected modules
5role types
32completed transactions
40+leads managed
SIIMS
Orders, production, warehouse, and dispatch on the same records
4operational roles
37backend tests passed
17hosted workflow tests passed
Ledgerline
603 tests passed in a dated financial-control verification
SAR 760Kcash reconciled end to end
603tests passed
14control findings fixed
3finance sources in one ledger
Common questions
Before you start.
Does OpenAI train on our data?
Under the API terms, business data sent through the API is not used for training by default, but you should confirm the current policy for your account. We design flows so sensitive fields are redacted before they are sent when that matters.
Can we switch providers later?
Yes. We keep prompts, tool definitions and evaluation sets in your repository behind a thin provider layer, so moving to another model is a configuration and testing task rather than a rewrite.
How do you stop the model making things up?
We ground answers in retrieved sources, require citations, validate outputs against schemas and add an evaluation set that runs on every change. Anything low confidence is routed to a person.
What do you build with OpenAI?
Assistants and chat features, Document extraction, Voice and realtime, Structured outputs, and related work. We choose OpenAI when it is the right fit for the product, the team and the budget.
Can you work with our existing OpenAI code?
Yes. We can review what you have, fix what is fragile, and extend it, or build alongside your team.
Keep exploring
More than OpenAI.
Where we apply it
The Audit
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