Production systems, not prototypes: automation, analytics, document intelligence and LLM applications. Dedicated teams per project — and we'll tell you honestly when AI is the wrong tool for the job.
Tailored web and API platforms with modern stacks, security best practices and CI/CD. We emphasize maintainability, observability and performance.
Intelligent automation and predictive analytics using classical ML and LLMs. Secure data pipelines, MLOps and model governance for production scale — sized to the GPU hardware it actually runs on.
Reliable integrations across ERP, CRM, IAM, observability and security stacks. We standardize interfaces and improve data quality while reducing operational overhead.
Data modeling, warehousing and lakehouse architectures with governance and lineage. BI dashboards and self-service analytics that scale with your business.
Infrastructure as code, GitOps and platform engineering for faster delivery with higher reliability. Golden paths and developer platforms your teams love.
Secure SDLC, SAST/DAST, SBOM, and compliance with ISO, SOC and GDPR. Security embedded into the development process with continuous assurance.
Production AI systems delivered by our engineering team. Client names withheld under NDA unless public.
Four LLM products for a US immigration-tech company: automated visa memorandum drafting from raw document sets (80% of routine drafting automated), workflow optimization for case managers, client-chat SLA monitoring, and an FAQ assistant for support.
Multi-stage verification pipeline: document authenticity checks, face matching, liveness detection and behavioral analysis — replacing slow manual review that was losing customers and letting fraud through.
Adaptive IIR/FIR filter correction driven by machine learning, built to keep voice commands accurate over engine and road noise. In final pre-production testing for a new vehicle line.
Real-time ML moderation flagging violations at 92% precision, plus an LLM support bot trained on the platform's knowledge base that resolves three quarters of tickets without a human.
End-to-end re-voicing pipeline: source-track analysis, context-aware translation, speech synthesis imitating the original speaker's timbre and emotion, and automatic sync with the video.
Geospatial ML over population density and transport accessibility, genetic-algorithm placement optimization, and digital-twin simulation to validate the plan before a single office moved.
Most software shops guess at infrastructure. We distribute it. AI projects come with right-sized GPU hardware — H200 NVL nodes, DGX Spark dev boxes, or full clusters — quoted in the same proposal, delivered on the same contract.
Let's shape a clear plan with milestones, architecture options and an implementation roadmap.