Assistants and agents
Support, sales and ops assistants that look things up and take actions in the tools your team already uses.
AI integrations
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
Support, sales and ops assistants that look things up and take actions in the tools your team already uses.
Answers drawn from your handbooks, tickets and contracts, with a link to the source so people can check them.
Extract, classify and summarize invoices, forms and reports, so the data lands where your team needs it.
Repetitive steps handled automatically, with a human in the loop for the decisions that need one.
We measure accuracy before launch and block unsafe or off-topic answers.
Process
We map the questions, documents and workflows involved. You get a scope, estimate and roadmap.
Retrieval pulls the right passages from your own sources, so the model answers from them and links back to each one.
Two-week sprints with daily updates and a working demo at the end of each sprint.
Evals measure accuracy, and guardrails block unsafe or off-topic answers before anything reaches a customer.
Cloud deployment, monitoring and ongoing iteration as people start to use it.
FAQ
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.
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.
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.
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.
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.
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.
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
Type Apps designs and builds custom software, including platforms, marketplaces, internal tools, dashboards, APIs and integrations with payments, CRMs, third-party data and legacy systems.
Type Apps provides application security, including secure-by-design architecture, authentication and SSO, encryption, OWASP-based code reviews, pen-test remediation, and SOC 2 and PIPEDA readiness.
Type Apps sets up cloud infrastructure and DevOps on AWS, Google Cloud, Azure, Vercel, Railway and Cloudflare, with Terraform, Docker, Kubernetes, GitHub Actions CI/CD, monitoring and cost reviews.
Start a project
Tell us about it. A technical lead will get back to you within 24 hours.