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AI Development

AI development builds software that learns from data to automate tasks and make decisions. Typical outcomes: chat or voice assistants, document search and summarization, invoice/ID processing, recommendations, anomaly detection, and computer vision for images/video.

It’s helpful when teams repeat answers, knowledge is scattered across files/CRMs, manual checks are slow, or you want personalization and forecasting. It fits support, sales, operations, finance, and content workflows — on web, mobile, or back office.

At Imaga, we design safe, goal-driven AI: retrieval from your data (RAG), fine-tuning where needed, clear UIs/APIs, guardrails and monitoring, and integrations with CRM/ERP and cloud services.

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What happens next
1
NDA. If checked, we'll send a standard NDA for e-signature right away.
2
Discovery. We'll reach out to clarify goals, constraints, and discuss potential AI use cases if they make sense.
3
Proposal. You'll get timeline and budget, plus key architectural options and risks.
We build for
Mercedes-Benz
Paynearż
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