What We Build
Five core service areas, each backed by deep engineering expertise and a track record of production deployments. We solve hard problems with reliable AI.
AI Agents
Autonomous software agents that handle complex, multi-step workflows without constant human supervision. From customer support triage to supply chain optimization, our agents reason, plan, and execute.
- Multi-agent orchestration with tool use and memory
- RAG pipelines with vector search and re-ranking
- Human-in-the-loop approval workflows
- Conversation and task management APIs
Enterprises drown in repetitive knowledge work: document review, data extraction, customer routing, compliance checks. Human teams cannot scale, and simple rule-based automation breaks on edge cases.
We build LLM-powered agents with structured reasoning, persistent memory, and tool access. Each agent is designed for a specific domain, tested against real edge cases, and deployed with guardrails and fallback logic.
A document processing agent reduced manual review time by 75% while maintaining 98% accuracy on extraction tasks, handling 2,000+ documents per day with a single human reviewer.
Computer Vision
From quality inspection on factory floors to medical imaging analysis, we build vision systems that see what humans miss and operate at machine speed. Real-time, production-hardened, and measurably accurate.
- Object detection, segmentation, and classification
- Edge deployment on NVIDIA Jetson and custom hardware
- Video analytics and real-time stream processing
- Custom model training and data pipeline engineering
Manual visual inspection is slow, inconsistent, and impossible to scale. Defects slip through, quality suffers, and companies cannot inspect 100% of output without massive labor costs.
Custom-trained detection models deployed on edge hardware for sub-100ms inference. Integrated with production line PLCs and SCADA systems, with real-time alerting and historical analytics dashboards.
A manufacturing client achieved 99.2% defect detection accuracy at full line speed, reducing escaped defects by 87% and eliminating the need for a 4-person manual inspection team.
Robotics
Intelligent control systems for robots that need to perceive, decide, and act in unstructured environments. We handle everything from sensor fusion to path planning to production-grade safety systems.
- ROS2 system design and integration
- SLAM, localization, and autonomous navigation
- Multi-sensor fusion (LiDAR, cameras, IMU)
- Safety-critical systems and redundancy design
Robotics projects fail not because the hardware is wrong, but because the software is fragile. Most teams underestimate the complexity of real-world perception, planning, and control in dynamic environments.
Production-grade ROS2 architectures with robust state machines, sensor fusion pipelines, and safety monitors. We test in simulation before deploying to hardware, and we design for graceful degradation under sensor failure.
An autonomous mobile robot for warehouse inventory achieved 99.5% navigation reliability across a 50,000 sq ft facility, operating 18 hours per day with zero safety incidents over 6 months.
Full-Stack AI Platforms
Complete platform builds that integrate multiple AI capabilities into a unified product. We design the architecture, build the infrastructure, and ship the interface -- a single team owning the full stack.
- End-to-end platform architecture and development
- Model serving infrastructure with auto-scaling
- Data pipelines, ETL, and feature stores
- Dashboard UIs and admin interfaces
Organizations build great ML models but struggle to turn them into usable products. The gap between a Jupyter notebook and a production platform is immense: APIs, auth, storage, monitoring, UI, DevOps, security.
We build complete platforms with battle-tested architectures: FastAPI or Flask backends, React or server-rendered frontends, containerized deployments, CI/CD pipelines, and observability from day one.
An adaptive learning platform went from concept to 500+ daily active users in 10 weeks, integrating LLM-powered content generation, real-time assessment, and an admin dashboard for instructors.
Enterprise AI Consulting
Strategic guidance for organizations making the transition from AI experimentation to production. We help you identify the right problems, design the right architecture, and build the right team.
- AI strategy and roadmap development
- Architecture review and technical due diligence
- Team training and capability building
- Vendor evaluation and technology selection
Most AI initiatives fail not because of technology but because of strategy: wrong problem selection, unrealistic timelines, missing data infrastructure, or misaligned teams. Leadership needs clarity before committing resources.
We run structured discovery engagements that map your data assets, identify high-impact use cases, design target architectures, and produce actionable implementation plans with realistic timelines and budgets.
A mid-market enterprise used our 4-week AI roadmap to prioritize 3 use cases from an initial list of 12, saving an estimated 6 months of misdirected effort and $400K in avoided sunk costs.