Artificial Intelligence (AI)

A short audit that maps where AI pays back in your business, what it will cost, and what to build first.

Chat with your documents, wikis and databases: grounded answers with citations, permissions respected.

Website, WhatsApp, Slack and Messenger assistants that resolve routine tickets and hand off cleanly to a human.

Phone agents that answer calls, qualify leads and book appointments, around the clock and in multiple languages.

Lead qualification, email triage, invoice handling: repetitive back-office work run by agents across your existing tools.

OCR and extraction for invoices, contracts, claims and KYC, turning paperwork into structured data in any language.

Agents with narrow scope and real evaluations, plus MCP servers that expose your internal tools to assistants safely.

AI features inside your own product: in-app assistants, smart search, summaries and generation your users will actually use.

Self-hosted and fine-tuned open models for teams whose data cannot leave their own cloud, GDPR and HIPAA in mind.

Visual inspection, video analytics and image recognition tuned to your cameras, lighting and edge cases.

Forecasting, churn, fraud and pricing models trained and served against metrics that mean something.

Evaluation suites, monitoring, cost control and guardrails, so non-deterministic systems stay reliable on every change.