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Home/Case Studies

Featured AI Projects

Intelligent systems,in production.

Featured projects showing how we turn complex problems into working AI-powered software.

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Featured Project · Generative AI

AI Knowledge Assistant

A secure enterprise assistant that answers from company knowledge — with citations, permissions and audit trails.

Challenge

Critical knowledge was scattered across documents, wikis and systems; teams spent hours searching and re-asking the same questions.

Solution

A retrieval-augmented assistant over governed enterprise content, embedded in the tools staff already use, with role-based access and source citations.

Technology

LLM orchestration with retrieval, vector search, Python, Node.js, Azure, Kubernetes.

Outcome

Faster, more consistent answers with every response traceable to a source — and continuous evaluation keeping quality high.

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Featured Project · Machine Learning

Predictive Analytics Platform

Machine-learning platform transforming business data into forward-looking insight.

Challenge

Reporting was backward-looking and manual; leadership lacked forward visibility on demand and churn.

Solution

A modern data platform with forecasting and churn models surfaced through real-time dashboards and APIs.

Technology

Apache Spark, PostgreSQL, Scikit-learn, dbt, AWS, React.

Outcome

Predictions embedded in daily planning decisions, with a single governed source of truth.

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Featured Project · Automation

Enterprise Automation System

AI-driven workflow automation for enterprise operations.

Challenge

High-volume back-office processes relied on manual document handling and repetitive approvals.

Solution

Document intelligence, AI agents and orchestrated workflows with human-in-the-loop controls.

Technology

LLMs with structured extraction, Node.js, Temporal, Google Cloud, Docker.

Outcome

Reduced manual effort and cycle time, with full auditability of every automated decision.

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Featured Project · Computer Vision

Computer Vision Application

Real-time visual intelligence for operational environments.

Challenge

Manual visual monitoring missed events and could not keep pace with continuous video streams.

Solution

Edge-deployed vision models for detection and monitoring, integrated with alerting and control systems.

Technology

PyTorch, OpenCV, NVIDIA edge inference, MQTT, Azure IoT.

Outcome

Consistent, real-time visual understanding at stream speed with continuous model improvement.

Featured projects are representative of the systems we build. Client names and results are shared under NDA on request.

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