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SERVICES / CUSTOM AI APPLICATIONS

AI features designed around your users, data, and product.

An AI application should solve a defined problem within the way people already work. Dotenum develops custom AI capabilities for internal tools, customer-facing applications, and software products.

Discuss an AI application
DOTENUM / CUSTOM AI APPLICATIONS01 / 03
Software engineer working on an application at a multi-screen workstation

Illustrative engineering context

WHAT WE CAN HELP YOU BUILD

What we can help you build

01

Internal knowledge assistants

Help authorized users find information across approved company documents and knowledge sources.

02

Retrieval-augmented generation (RAG)

Connect language models to relevant information and design how that information is retrieved and presented.

03

Document intelligence

Extract, organize, compare, and process information from documents as part of a larger application.

04

Tool-connected AI agents

Build defined workflows in which AI can interact with permitted tools and APIs, with appropriate controls.

05

AI features for existing products

Add AI capabilities to your current web application or software platform.

BEYOND THE MODEL

Beyond the model

We consider the surrounding application: user experience, access controls, data flow, integrations, evaluation, error handling, and deployment requirements.

The appropriate architecture depends on the use case. Not every problem needs an autonomous agent or a complex multi-agent system.

SEE IT IN PRACTICE

GrowthOS — evidence-grounded multi-stage AI research

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GrowthOSInternal intelligence system
Demo data
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Evidence-driven discovery

Qualification queue

3 candidates
AI development partner requestOriginal source · buyer request
RESEARCHING
AI services procurement noticeAuthorized source · deadline passed
DISQUALIFIED
AI startup directorySecondary source · no buyer intent
DISQUALIFIED

We applied agentic architecture internally to prospect intelligence, combining research planning, source evidence, participant-role analysis, structured extraction, deterministic qualification, and human review.

GrowthOS is an active internal engineering case study, not a commercially available SaaS product.

LET’S TALK

Have an AI product idea or an existing application?

Share the intended users, the problem you want to solve, the data involved, and any existing software we should work with.