AI Development
AI that lives inside the product
Apex designs and builds AI agents, generative features, document intelligence, and retrieval systems as part of software people actually operate.
Apex treats AI as an engineering problem. A model is useful when it can research, draft, classify, or decide inside a boundary the business understands.
Engagements cover AI agents, generative features in an existing product, retrieval over company knowledge, document intelligence, and the integrations required to reach the systems where the work already happens.
Capabilities
AI agents
Agents with a defined job: research, triage, draft, or hand work to a person when the case leaves the boundary.
Generative features
Writing, summarization, and transformation built into an application instead of a separate chat window.
Retrieval systems
Search over approved company content so answers stay tied to source material.
Document intelligence
Classification, extraction, and review flows for the documents a team already handles.
Why teams use this
A job, not a demo
Each capability is tied to a workflow, a user, and a place where a person can correct the result.
Fits the stack you have
Models connect through APIs and data you already store, rather than a parallel tool nobody opens.
Operable after launch
Logging, review, and a path to change prompts, tools, and data are part of the build.
How an engagement runs
01
Discover
Map the workflow, users, data, and constraints before choosing a technical approach.
02
Define
Agree the product scope, architecture, and the first release that is worth putting in front of users.
03
Design
Design the experience, system boundaries, and data model together so engineering is not guessing.
04
Build
Ship in short iterations with review, testing, and a working environment the team can use.
Technology
- OpenAI
- LLMs
- RAG
- Python
- Node.js
- TypeScript
Products that use this work
Related work
DotlyMaps — location intelligence platform
An Apex-operated product for territory, account, and market data. This story describes what was built, not a third-party result.
Read the storyLeadsFizz — lead intelligence platform
An Apex-operated product for prospect discovery and lead workflow. No customer revenue figures are claimed here.
Read the storyQuestions
Do you only wrap a chat interface around a model?
No. Apex builds AI into software: agents with defined jobs, retrieval over your content, document processing, and features inside an application your team already uses.
Can this connect to systems we already run?
Yes. Most AI work includes an integration layer so the model can read and write through APIs, databases, and the tools your operators use.
Related services
Start with the workflow, not a slide deck
Tell Apex what the system needs to do. We will reply with a practical next step.
Let's Build