Model Lifecycle Controls
Versioned model registry patterns, promotion gates, repeatable release workflows, and rollback controls aligned with operational SLO targets.
WHAT WE DO
AI Consulting Services
End-to-end technical execution across model engineering, platform architecture, and production operations. Every engagement is designed around clear milestones, measurable quality gates, and complete operational handoff.
Fine-Tuning & Evaluation Engineering
We design and execute supervised fine-tuning workflows that produce measurable improvements in model quality, latency, and cost efficiency. Our approach combines rigorous dataset curation with systematic evaluation, ensuring that every model iteration can be compared against clear baselines.
From adapter-based methods like LoRA and QLoRA to full fine-tuning runs, we select the right approach based on your data volume, latency requirements, and deployment constraints.
- Supervised fine-tuning (SFT) and adapter-based workflows (LoRA, QLoRA)
- Dataset curation, cleaning, and augmentation pipelines
- Evaluation suite design with automated quality benchmarking
- Regression tracking across model versions
- Inference optimization for latency and cost reduction
- RLHF and DPO alignment strategy
Custom AI Software Systems
We build AI-native products and integration layers that connect model capabilities to business workflows. This includes orchestration engines, tool-calling pipelines, retrieval-augmented generation systems, and full-stack application development.
Our implementations are designed for production: secure API boundaries, proper error handling, graceful degradation, and structured observability from day one.
- AI-native product architecture and implementation
- LLM orchestration layers and tool-calling pipelines
- RAG system design with vector store integration
- Backend API development (Python, TypeScript, Go)
- Enterprise system integration and data source connectors
- Multi-model routing and fallback strategies
Robotics & Drone Software Architecture
We deliver the software side of robotics and drone systems: perception stack integration, planning interfaces, telemetry pipelines, and autonomous mission services. Our focus is on the data and control software that connects hardware capabilities to intelligent behavior.
Whether you are building warehouse automation, agricultural drones, or inspection robots, we help translate sensor data into actionable decisions with reliable, maintainable software.
- Perception stack integration and sensor fusion pipelines
- Planning and navigation interface development
- Telemetry collection and real-time monitoring dashboards
- Control loop service design and optimization
- Autonomous mission planning and execution services
- Field deployment workflows and edge inference
AI DevOps & Production Operations
Shipping AI requires more than model quality. We establish AI DevOps foundations so teams can deploy confidently, monitor continuously, and iterate safely across model, data, and application layers.
Data & Evaluation Pipelines
Automated data ingestion and transformation, validation checks, evaluation suites, and drift monitoring that detect quality degradation before user impact.
Observability & Incident Response
Metrics, structured traces, and error telemetry across model and application services, including alerting policies and runbooks for faster root-cause isolation.
Platform Security & Governance
Identity boundaries, secrets handling, API policy controls, auditability, and deployment practices that keep AI systems compliant and defensible in production.