AI Agents Development

Build goal-directed, tool-using agents that operate safely within your data, systems, and controls.

Scope an Agent Pilot
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iconTechnology Stack
  • LangChain
  • LlamaIndex
  • OpenAI Functions
  • Anthropic Tool Use
  • Graph-RAG
  • Pinecone
  • Weaviate
  • Redis
  • Celery
  • Kubernetes
  • Argo
  • Guardrails.ai

Agents Built for the Enterprise

Task Decomposition & Orchestration

Tooling rail: planners ā€¢ multi-agent workflows ā€¢ retries

Edge: Deterministic fallbacks to prevent loops and stalls.

Tooling & API Integration

Tooling rail: function calling ā€¢ REST/GraphQL ā€¢ RPA hooks

Edge: Principle-of-least-privilege tokens and audit logs.

Memory & Retrieval (Graph-RAG)

Tooling rail: vector DBs ā€¢ graph stores ā€¢ hybrid search

Edge: Ī£-Graphionā„¢ graph-aware retrieval reduces drift/hallucination.

Evaluation & Guardrails

Tooling rail: prompt tests ā€¢ content filters ā€¢ red teaming

Edge: EthicĪženseā„¢ policy-as-code + Responsible-AI dossier.

Cost, Latency & Routing

Tooling rail: model routers ā€¢ caching ā€¢ streaming

Edge: Neuro-Quantisā„¢ inference FinOps with budgets and caps.

Operations & Observability

Tooling rail: traces ā€¢ token logs ā€¢ canary releases ā€¢ rollback

Edge: QĪ¼Ī²rixā„¢ SLOs for throughput, error rates, and spend.

Our Clients

Clients that trusted Us

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Methodology

Define the Job Decision Rights

CRF: context, risks, functions.

Prototype Safely Guardrails

Sandbox, tool tests, red team.

Scale to Ops Ops

Monitoring, SLOs, runbooks.

Agents that obey rulesā€”and deliver value

Tool-use power with enterprise-grade controls.

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  • Planner/orchestrator patterns
  • Graph-RAG memory and retrieval
  • Policy-as-code safety & attestations
  • End-to-end observability
  • End-to-end observability

Assurance Strip

Foundational safeguards ensuring compliance, accountability, and operational integrity.

Tool Permissions Managing access controls and user privileges for AI tools and platforms to ensure security and compliance
Retrieval Verification Validating the accuracy, relevance, and reliability of data or information retrieved by AI systems
Cost Caps Defining upper limits on cloud, compute, and operational expenses to maintain financial control
Audit Trails Keeping detailed logs of actions, decisions, and data usage for traceability and regulatory compliance

Boardroom Kit

Executive tools to govern, track, and fund AI initiatives responsibly.

Agent Safety Checklist Step-by-step guide to ensure AI agents operate safely, ethically, and within defined boundaries
Tool Permission Matrix Structured mapping of user roles and access levels for AI tools to enforce security and compliance
Retrieval Test Pack Set of test cases and procedures to validate the accuracy and reliability of AI retrieval systems
Ops Runbook Template Standardized template for documenting operational procedures, incident response, and maintenance workflows

Get Started ā€“ AI Efficiency with
Proven Performance

Accelerate AI workloads with rigorously tested Quantum-Inspired Neuromorphic AI.

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