AI integrations

AI integration that answers from your own data

Type Apps builds AI features into your product and your team’s daily work. Every answer is grounded in your own data and cites its source, and every feature is tested with evals and guardrails before anything reaches a customer.

AI integration

What we do

Assistants and agents

Support, sales and ops assistants that look things up and take actions in the tools your team already uses.

Search over your documents (RAG)

Answers drawn from your handbooks, tickets and contracts, with a link to the source so people can check them.

Document processing

Extract, classify and summarize invoices, forms and reports, so the data lands where your team needs it.

Workflow automation

Repetitive steps handled automatically, with a human in the loop for the decisions that need one.

Evals and guardrails

We measure accuracy before launch and block unsafe or off-topic answers.

Process

How we work

  1. 01

    Discover

    We map the questions, documents and workflows involved. You get a scope, estimate and roadmap.

  2. 02

    Connect your data

    Retrieval pulls the right passages from your own sources, so the model answers from them and links back to each one.

  3. 03

    Build in sprints

    Two-week sprints with daily updates and a working demo at the end of each sprint.

  4. 04

    Test before launch

    Evals measure accuracy, and guardrails block unsafe or off-topic answers before anything reaches a customer.

  5. 05

    Launch and improve

    Cloud deployment, monitoring and ongoing iteration as people start to use it.

A good fit when

  • Your team spends hours searching handbooks, tickets or contracts for answers.
  • You process invoices, forms or reports by hand.
  • You want an assistant inside your product that can take actions, not just chat.
  • You need to know an AI feature is accurate before customers see it.

Tools we use

ClaudeOpenAILlamaMistralLangChainPython

FAQ

AI integration: common questions

What AI integration services does Type Apps offer?

Type Apps builds four kinds of AI features: assistants and agents that take actions in your tools, search over your own documents with cited sources, document processing that extracts and summarizes invoices, forms and reports, and workflow automation with a human in the loop. Each one is grounded in your data and tested with evals and guardrails before launch.

Which AI models do you work with?

We work with Claude, OpenAI models and open-source models such as Llama and Mistral. The right model depends on accuracy, cost, speed and where your data is allowed to go, so we compare options against your own use case during discovery instead of defaulting to one provider.

How do you keep AI answers accurate?

We ground answers in your own data and test them before launch. Retrieval pulls the relevant passages from your documents, the model answers from those passages, and each answer links to its source. Evals measure accuracy before anything reaches a customer, and guardrails block unsafe or off-topic answers.

Can you add AI to an existing product?

Yes. Type Apps builds AI features into the products and tools you already run, as well as new ones. We connect to your existing data and systems through APIs and ship the feature through an automated pipeline that tests, scans and deploys every change, so it goes live like any other release.

What is retrieval-augmented generation (RAG)?

Retrieval-augmented generation, or RAG, is a way of having an AI model answer from your own documents instead of only its training data. The system first retrieves the passages that match a question, then the model writes an answer from them and cites the source. Type Apps uses it for search over handbooks, tickets and contracts.

Do people stay in control of automated workflows?

Yes. We build workflow automation with a human in the loop, so the AI handles repetitive steps and a person approves the decisions that need judgment. Guardrails block unsafe or off-topic output, and evals measure accuracy before launch, so you know how the system behaves before your team relies on it.

How do I start an AI project with Type Apps?

Tell us what you want to answer or automate, through the contact form or at hello@type-apps.com. A technical lead replies within 24 hours and talks through your goals, users and constraints. You then get a scope, estimate and roadmap before any commitment.

Related

Start a project

Have something to build?

Tell us about it. A technical lead will get back to you within 24 hours.

Start a project hello@type-apps.com