Enterprise AI & Agent Orchestration
MITHUNAI
Private Enterprise AI That Shows Its Sources
MITHUNAI pairs a visual studio for building agent workflows with a retrieval engine that answers from approved sources only. Answers link back to the passages they used, so a reviewer can check any claim in one click. Deploy it in your VPC or data center, route sensitive prompts to local models, and embed assistants in internal tools or customer-facing apps.
Key metrics
Design targets and benchmarks, validated with each customer during a pilot.
Capabilities
MITHUNAI Studio
Visual workflow canvas for chatflows, model routing, and dataset pipelines across private and open-source LLMs.
Grounded Knowledge Engine (Arukz)
Retrieval-augmented Q&A with source attribution on every answer and a link back to the original passage.
Multi-Agent Collaboration
Specialized agents draft, review, and critique each other’s output before a result is returned.
Embeddable Web Widget
A drop-in widget that brings cited answers into your product, help center, or intranet.
Private Model Routing
Routes prompts between on-premise open models (Llama, Mistral) and hosted frontier models based on data sensitivity.
PII & Secret Guardrails
Strips personal data, card numbers, and secret tokens from prompts before they reach a model.
Architecture
- Twin-pillar design: an orchestration studio and a grounded retrieval engine
- Arukz API kernel with REST and streaming gRPC interfaces
- Single sign-on with scoped session tokens
- Visual workflow graphs with per-step execution traces
Business Outcomes
- Reduces unsupported AI answers by requiring a cited source for each claim
- Keeps proprietary data in your VPC or data center, never used to train public models
- Shortens the time employees spend searching internal documentation
Who It's For
Chief AI / Digital Officer
Ships AI assistants whose answers can be traced to approved sources.
Head of Customer Experience
Embeds citation-backed support assistants directly in customer-facing apps.
Lead Data Scientist
Builds multi-agent workflows without maintaining orchestration infrastructure.
Integrations
- vLLM
- Ollama
- Hugging Face
- LangChain
- LlamaIndex
- PostgreSQL pgvector
- ECharts
- REST / gRPC
Works With
Application Security & Non-Human Identity (NHI)
TrustIvan
Container and SBOM scanning, machine-identity inventory, and runtime authorization for AI agents
Observability & AI-Ops
aiAxonIQ
OpenTelemetry logs, metrics, and traces on ClickHouse, with anomaly forecasting and plain-English queries
Open-Source Continuous Compliance (GRC)
trustlynce
Open-source compliance automation with 270+ MCP tools for evidence, controls, and audits