AI agents & automation
Design agents that plan, call tools, connect to internal systems and keep people in control.
LangGraph · LangChain · n8nApplied AI & data science
We build AI systems around your data, workflows and risk profile—connecting modern models to the reality of enterprise operations.
A production AI pipeline connects governed knowledge, evaluates safety and quality, and operates with human control and observability.
Capabilities
Our AI practice covers the full path: discovery, data readiness, prototyping, evaluation, integration, deployment and continuous improvement.
Design agents that plan, call tools, connect to internal systems and keep people in control.
LangGraph · LangChain · n8nBuild source-linked assistants and semantic search over governed internal knowledge.
LlamaIndex · Qdrant · pgvectorConvert PDFs, scans and forms into structured, reviewable business data.
OpenCV · PaddleOCR · Multimodal LLMsPrepare data, engineer features and deliver forecasting, scoring and anomaly detection.
PyTorch · TensorFlow · scikit-learnBring image, video and voice understanding into web, mobile and enterprise workflows.
Hugging Face · Whisper · Cloud AIPackage, evaluate, observe and operate models with security, cost and release controls.
MLflow · Docker · KubernetesProduction AI architecture
A useful prototype is only the start. We engineer the data, controls and observability required to make AI safe enough and reliable enough for day-to-day work.
Prioritize use cases, value, constraints and responsible-AI requirements.
Connect, clean, structure and govern the data foundation.
Design retrieval, model, tool-use and human-review workflows.
Test accuracy, quality, safety, latency and cost against real scenarios.
Deploy with security, observability, versioning and feedback loops.
Our AI principles
Source attribution, evaluation and traceability wherever decisions depend on the answer.
Access boundaries, guardrails, approval points and audit trails are part of the architecture.
Models and patterns are chosen for quality, privacy, latency, cost and maintainability.
Have an ambitious problem?
Bring the context. We’ll bring product thinking, engineering depth and a practical path forward.
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