Generative AI & Intelligent Agents

Private, domain-specific AI assistants and copilots for data-rich workflows.

What We Deliver

  • Retrieval-augmented generation on secure internal data
  • Tool-using autonomous agents integrated with enterprise APIs
  • PII-safe LLM deployments with policy-based access control
  • Continuous evaluation, safety guardrails, and observability

Our Approach

We build secure, domain-tuned assistants and agents that connect to your systems, reason over private data, and execute tasks safely. Solutions are designed for traceability and multi-tenant access control, with robust evaluation loops, red-team testing, and production telemetry.

Architecture Patterns

  • RAG 2.0: hybrid retrieval (BM25 + dense), query rewriting, re-ranking, and structured grounding.
  • Tool-use & workflows: function calling, tool routing, and finite-state/graph agents for reliability.
  • Multi-model orchestration: route by task/cost/latency; mix text, vision, and speech (multimodal).
  • Data privacy: PII detection/redaction, policy-based masking, per-tenant encryption and isolation.
  • Observability: traces, tokens, latencies, and feedback loops wired into dashboards and alerts.

Tooling & Platforms

Model Providers

OpenAI / Azure OpenAI, Anthropic, Google Vertex AI, AWS Bedrock; open-source via Hugging Face.

Orchestration

AI Foundry, LangChain / LangGraph, LlamaIndex; CrewAI for multi-agent patterns.

Automation & Integrations

n8n for no-code workflows; custom adapters for REST/GraphQL/SOAP; webhook & queue workers.

Retrieval & Storage

Pinecone, Weaviate, Milvus, pgvector; document loaders, chunking, and rerankers.

Safety & Guardrails

Prompt shields, policy filters, content moderation, constrained decoding, allow/deny tool lists.

Evaluation & Observability

Langfuse, Arize Phoenix, Weights & Biases; RAGAS / custom evaluation suites; drift & quality alerts.

Identity & Access

SSO/OAuth2, policy-as-code (RBAC/ABAC), secrets management, audit logging, per-tenant limits.

Deployment Options

  • Private cloud or on-prem with customer-managed keys and network isolation.
  • Per-tenant vector indexes and data stores; hot/warm tiers for scale and cost control.
  • SLA-aligned autoscaling, canary rollouts, and feature flags for safe iterations.

Use Cases

  • Knowledge copilots over policies, procedures, contracts, and tech docs.
  • Ops agents that read tickets, call APIs (e.g., CRM/ITSM), and draft actions for human approval.
  • Sales & support copilots with retrieval-grounded answers and conversation memory.
  • Multimodal intake: classify, extract, and summarize text, images, and audio for case handling.

Security, Privacy & Compliance

  • PII discovery/redaction, DLP controls, and per-field masking policies.
  • Tenant isolation, least-privilege tool access, and deterministic tool whitelists.
  • Comprehensive audit trails, incident hooks, and regulator-ready documentation.
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