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Custom software engineering

AI Integration

Connect a model to a defined product workflow with the right context, permissions, evaluation and operating controls. We first check whether your existing application and data can support the use case.

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What we can build

Built around the way your business works.

Model API integration and structured outputs
Context and access controls
Evaluation examples and fallback behavior
Usage limits and observability

How we work

Clear scope. Purpose-built implementation.

01

Define the task

Agree on users, data, permissions and success criteria.

02

Evaluate a bounded prototype

Test representative and failure cases before rollout.

03

Integrate and observe

Connect approved tools and instrument behavior and usage.

04

Review and release

Validate acceptance criteria and document operational ownership.

Project pricing depends on scope, complexity, integrations, UI/UX, backend requirements, infrastructure and maintenance. We provide a project-specific estimate after understanding the requirements.

Technology

Selected for your requirements, not a preset package.

Model APIsPythonNode.jsPostgreSQLVector search

Scope, trade-offs and next steps

Send your current workflow, required user roles, systems to connect and first-release priorities. We agree on acceptance checks, exclusions, handover and support before development. Platform subscriptions and running costs are discussed separately.

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Locations we serve

We work remotely with businesses across major tech and trading hubs.

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