Artificial Intelligence. Real Signal.
Engineering multi-agent AI systems that distill complexity into actionable intelligence.
Data Engineering
We build scalable, governed data pipelines paired with MCP servers, and can help define, and engineer AI‑ready assets for seamless agent integration.
Model Development
We architect, train and fine tune both LLM and Multimodal models, with rigorous observability and evaluation at every stage. We also deploy custom models across Ray clusters and Spark fabrics, tuned for performance at scale.
Agentic Systems
We build advanced multi-agent systems capable of complex interaction and reasoning. Built using the leading frameworks and incorporating the latest research in multi-agent systems they can be enhanced with your proprietary enterprise data in an agentic RAG setup, or with custom MCP wrappers for your proprietary tools.
Adversarial Machine Learning
Certified adversarial ML practice applying OWASP LLM Top 10, MITRE ATLAS/ATT&CK, and NIST AI Risk frameworks to deliver interpretability, vulnerability, and threat landscape analysis.
What have we built?
- Proprietary CAD/CAM CNC machining agent.
- Graph-based RAG manufacturing process expert.
- Slack-integrated Graph/RAG bots (generalized and domain-expert).
- Network traffic anomaly detection agent.
- AI Red Team agent for pen testing and CTF competitions.
- Visual asset cataloging and anomaly detection agent.
- HIPAA-compliant medical assistant.
- General-purpose and personalized private assistants.
- Content Management and OSINT/Social Graph MCP servers.
What is our process?
Discovery (2 weeks):We begin with a complimentary 2-week discovery phase to fully understand your business context, objectives, and constraints. This collaborative process ensures we define clear scope, define rules of engagement, and understand stakeholder needs before moving forward.
Design (2–4+ weeks):We work closely with your team to refine requirements, document detailed specifications, and finalize system design. We’ll deliver a fully aligned technical specification, architecture, and rollout plan for development and deployment.
Development (4–6+ weeks):Our team can integrate with yours. Either leading, supporting, or collaborating, as we build, test, and deploy the system. We keep you informed, ensure code quality, and drive delivery milestones.
Deployment Support:Post-launch, we can provide ongoing support, monitoring, and testing to ensure your system remains reliable, secure, and aligned with objectives.
Looking to advance your AI edge? Connect with us to discuss agentic systems, scalable data pipelines, and adversarial resilience.
