From strategy and data engineering to Computer Vision, NLP, Predictive Modeling, and Generative AI. We build production‑ready systems with MLOps best practices and measurable ROI.
Detection, segmentation, and tracking for retail analytics, quality inspection, safety, and border/ID verification. Real‑time pipelines with ONNX/TensorRT.
RAG over private data, document automation, chat agents, and evaluation harnesses. Hallucination‑safe guardrails and observability for regulated workloads.
Lead scoring, demand forecasting, churn & CLV, risk modeling. Feature stores, model registries, and automated retraining with drift monitoring.
Modern data stacks on Azure/AWS/GCP. CI/CD for ML, model governance, lineage, and secure access patterns through lakehouse architectures.
Bias testing, explainability, data minimization, and policy enforcement aligned to EU AI Act and ISO standards. We make AI auditable.
Value discovery workshops, architecture reviews, and build‑operate‑transfer. We upskill your teams while delivering impact.
Real‑time queue detection and footfall heatmaps rolled out to 200+ stores with edge inference and central monitoring.
Contract intelligence with retrieval‑augmented generation across 1.2M documents, including lineage and redaction policies.
Map objectives, data readiness, and risk. Align KPIs with business outcomes.
Architecture, data contracts, and evaluation plan. Privacy and governance first.
Ship thin slices to production behind flags. Iterate with A/B testing.
Automated retraining, monitoring, and alerting. Cost/perf optimization.
Enable your teams. Playbooks, runbooks, and skills uplift.
2 weeks • Strategy & roadmap
6–12 weeks • MVP → Prod
SRE & ModelOps • BOT options
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