AI Implementation
We take AI from whiteboard to production — RAG pipelines, LLM apps and agentic systems and wired into your stack with guardrails, evals, observability and real cost controls.
Secure by design — your data stays in your environment.
production rag pipeline
- Production RAGⓘ — parsing, PII redaction, hybrid retrieval & rerankingⓘ
- Self-correcting answers (CRAG / Self-RAGⓘ), gated on faithfulnessⓘ
- Agentⓘ & tool-use orchestration — agentic RAGⓘ, A2A
- Evalⓘ-gated CI/CDⓘ with full observabilityⓘ and a feedback loop
The difference between a demo and a production system is discipline: permissions, evaluation, observability, failure handling, and cost controls.
Book an Adopt AssessmentNo AI ships on vibes. Faithfulness, relevancy, precision and recall are measured on every release — gated against targets agreed up front — and we red-team the same build for jailbreaks, injection and PII leakage before it reaches a user.
Plugins & Agents
A library of autonomous agents you can demo today — each one a node in the constellation, each one doing real work in your pipeline.
Claude Code Plugins
Our open marketplace of Claude Code plugins — drop-in slash commands, subagents and skills that plug Pangaea workflows straight into your editor.
View agentAI Audit
Scores faithfulness, relevancy and recall, and red-teams for jailbreaks, injection and PII leaks.
View agentProd RAG Pipeline
Crawl → chunk → embed → retrieve, with guarded tool calls on every hop.
View agent +2View all agents
See all agentsPut a gated AI system in production.
Book a 30-minute Adopt Assessment — we scope one use-case and the eval that defines done.
Book an Adopt Assessment