Mantra OS. The stack behind every product.
Mantrix, Ledgerly, and Kaboota all run on the same innovation stack: a production multi-agent framework and an enterprise model layer, built to survive enterprise security review.
Everything we ship is built on Mantra.
When the stack improves, every product improves — the same graph, agents, and guardrails power all three.
Decision intelligence for large enterprise — Core AI, Axis AI, and Markets AI pillars with AI modules running on live ERP data.
A 10-agent AR pipeline, four economic engines, and a CFO copilot — your whole finance office, run by agents.
Voice agents that answer every call, resolve against your live systems, and escalate to humans with full context.
An agent framework and a model layer, working as one.
Multi-agent orchestration, production-grade
A Python-first framework for building multi-agent LLM systems — typed agent-to-agent handoffs, graph-based memory, sandboxed code execution, and a safety layer with a policy engine and human-escalation supervisor.
The model that speaks fluent SQL
Mantra LLM is our in-house model, trained for one job: translating business questions into precise SQL across industries. It powers the query layer of every product — turning "which customers slipped payment terms this quarter?" into governed queries against your live data, while Claude and GPT handle general reasoning through the same secured model layer.
Five things Mantra OS does that a model API can't.
GraphRAG over your business — a knowledge graph fused with vector search, so agents reason over how customers, orders, suppliers, and margins actually relate. Proven at millions of documents in a regulated environment.
Crews of specialized agents with pluggable context-sharing and typed, schema-validated handoffs — no free-text telephone games between agents.
Agents act through governed tools with sandboxed execution of generated code — reading and writing to ERPs, CRMs, and banking systems without ever touching them directly.
A policy engine with human-escalation supervision, data-loss-prevention analyzers, active PII redaction, and prompt-injection detection trained against the OWASP LLM Top 10.
Information-flow auditing and data-lineage tracking on every decision, full audit trails, and role-based access — the operational rigor that passes enterprise security review, including in aerospace & defense environments.
An enterprise knowledge graph, not a prompt.
Mantra combines a knowledge graph with vector search — GraphRAG — so agents reason over how your entities actually relate: customers to orders, orders to margins, suppliers to risk. Proven at millions of documents in a regulated environment.
Memory is graph-based too — facts, experiences, summaries, and beliefs — so agents get smarter about your business over time, with information-flow auditing and data-lineage tracking on every decision.
Speed. Scale. Safety.
From ERP access to production decisions in four weeks — Forward Deployed Engineers build on Mantra instead of starting from scratch.
One stack from QuickBooks to SAP S/4HANA. The same graph, agents, and guardrails serve a 10-person contractor and a Fortune 500 enterprise.
Compliance is architecture, not paperwork: GDPR, HIPAA, and PCI-DSS presets, a patent-pending secure agent-communication design, and humans in the loop by default.
The parts most platforms don't build.
Six kinds of store, each doing what it's best at — relational, columnar, document, graph, vector, and semantic.
A cross-database query planner with pushdown optimization and automatic dialect translation — one question, many systems.
Column-level lineage captured on every query by a native Rust engine — impact analysis and trace on demand.
Agent runs on a durable workflow engine — pause, resume, or cancel any run mid-flight, with nothing lost.
Four-network agent memory — facts, experiences, summaries, beliefs — graph-stored, scoped per tenant and agent.
APM tracing through every request and structured audit streams for every agent step and decision.
Per-database access levels, encrypted credentials, and tenant isolation enforced on every row.
Drop agents, search, and dashboards into any app as web components — with actions acknowledged by your host system.
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