Lyzr AI
by Lyzr AI
Take your AI agents to production, faster
Lyzr AI is a full-stack enterprise platform for building, governing and running AI agents inside the customer's own cloud or data centre rather than a vendor's. It combines a low-code agent studio, multi-agent orchestration, knowledge graphs, evaluation tooling and a responsible-AI layer, and is aimed at regulated organisations that need data sovereignty and audit trails on every agent run.
Lyzr AI, founded in 2023 and headquartered in India, sells a full-stack enterprise platform for building, governing and running AI agents, positioning itself as a control plane that manages agents regardless of which framework created them. The product line spans Agent Studio, a low-code workbench for composing and testing agents; Architect for multi-agent workflow design and routing; knowledge bases and knowledge graphs for retrieval; Cognis for persistent agent memory; Agent Eval for regression testing; and a Responsible AI module with a hallucination manager and PII detection and masking. Lyzr describes the platform as a seven-layer stack covering multi-cloud and multi-framework connectivity across AWS, Azure, GCP, LangChain and CrewAI; model flexibility across GPT-4o, Claude, Gemini, Llama and Mistral; a simulation engine with domain-specific test suites; real-time observability; hallucination and PII filtering; role-based access control with SSO; and immutable audit logging. It also ships pre-built vertical agents with names — Jazon for sales, Skott for marketing, Jeff for customer service, Diane for HR — plus procurement and legal blueprints. The differentiating bet is data sovereignty: agents execute inside the customer's own VPC or on-premises environment rather than a vendor cloud, which is why Accenture invested and is taking the platform to banking and insurance clients. Pricing is published and usage-based at $0.08 per agent run on Lyzr Cloud and $0.03 per run self-hosted, with LLM tokens and compute billed as pass-through. Accenture led a $14.5M Series A+ in March 2026 at a $250M valuation, and Lyzr reports over a million agents in production and more than 30,000 developers building on the platform.
A platform or AI engineering team at a bank, insurer, healthcare provider or government body that has agent pilots working but cannot move them to production because the data is not allowed to leave its own environment.
Agents run entirely inside your VPC or data centre with guardrails, RBAC and immutable audit logging applied on every run, at a published per-run price you can model before committing.
At a Glance
- Category
- AI Agents & Orchestration
- Pricing
- Usage-based, Contact for pricing
- Target Market
- CIOs, CTOs, Enterprise Developers, Data Scientists, Heads of Automation, Risk and Compliance Leaders
- Deployment
- Cloud-first, Self-hosted, Hybrid, Multi-cloud
- Founded
- 2023
- Headquarters
- India
- Customers
- 30,000+ developers building on the platform and over 1 million agents reported in production (company-reported, March 2026)
Key Features
- ✓Agent Studio
A low-code workbench for building, testing and managing agents, so non-engineers can assemble working agents without writing orchestration code.
- ✓Architect and multi-agent orchestration
Composes and routes work across multiple agents, which is what turns single-task demos into workflows that survive real business processes.
- ✓Responsible AI and hallucination manager
Guardrails, hallucination detection and PII masking run on every agent execution rather than as an optional wrapper the developer must remember.
- ✓Cognis agent memory
Persistent memory so agents retain context across interactions, which matters for multi-turn support and long-running back-office processes.
- ✓Sovereign deployment in VPC or on-premises
The whole stack runs inside the customer's environment, keeping data and IP in-boundary — the reason regulated buyers can approve it at all.
- ✓Agent Eval and simulation engine
Domain-specific test suites let teams regression-test agent behaviour before shipping, instead of discovering drift from a customer complaint.
- ✓Model and framework neutrality
Bring your own model across GPT-4o, Claude, Gemini, Llama or Mistral, and govern agents already built on LangChain or CrewAI.
Capabilities
Use Cases
- •Moving a banking or insurance agent pilot into production
Run the agent inside the bank's own VPC with audit logging and guardrails, satisfying the risk review that blocks vendor-cloud deployments.
- •Governing agents built by different teams in different frameworks
Put one control plane over LangChain, CrewAI and custom agents so policy, RBAC and observability are consistent across the estate.
- •Automating back-office functions with pre-built agents
Deploy Jazon, Skott, Jeff or Diane for sales, marketing, support and HR workflows, then customise the blueprint against internal systems.
- •Migrating an existing customer service agent stack
Lyzr cites a chip manufacturer that cut build time by 70% after moving its customer service agents onto the platform.
- •Running large interconnected agent networks
A Fortune 100 technology customer used more than 200 interconnected agents to cut startup sourcing and evaluation time by 80%.
Ideal For
Best For
- ✓Regulated enterprises in banking, insurance and healthcare that need agents executing inside their own VPC or on-premises for data sovereignty
- ✓Teams standardising governance across agents that were built in different frameworks — LangChain, CrewAI or bespoke Python — without rewriting them
- ✓Organisations that want a modellable, usage-based cost per agent run instead of an opaque enterprise seat licence
- ✓Automating well-defined back-office workflows in sales, marketing, HR, procurement and support using pre-built agent blueprints as a starting point
- ✓Buyers who want model neutrality and the ability to swap between GPT, Claude, Gemini, Llama or Mistral without replatforming
Not Ideal For
- ✗Teams wanting plug-and-play results — independent hands-on reviewers report that most of the effort goes into setup rather than output, and blueprints still need real customisation before they are useful
- ✗Organisations already committed to Microsoft Copilot Studio or Salesforce Agentforce, where the native platform's data gravity usually outweighs Lyzr's neutrality
- ✗Framework-fluent engineering teams happy to run LangGraph or CrewAI themselves, who would be paying a per-run premium for governance they can assemble
- ✗Buyers who need fixed, predictable annual pricing — per-run billing plus pass-through LLM and compute costs makes the bill move with usage
Integrations
Deployment
Market & Ratings
30,000+ developers building on the platform and over 1 million agents reported in production (company-reported, March 2026)
Market Analysis
Pros
- ✓Published, modellable pricing at $0.08 per cloud run and $0.03 self-hosted, which independent reviewers call out as a genuine differentiator in a category of opaque quotes
- ✓VPC and on-premises deployment give real data sovereignty, the reason regulated banking and insurance buyers can get it through procurement
- ✓Governance, guardrails and audit logging are applied on every agent execution rather than left to the developer to remember
- ✓Model and framework neutrality means no lock-in — agents already built on LangChain or CrewAI can be governed without a rewrite
- ✓100+ agent blueprints and named vertical agents shorten the distance from a blank page to something working
Cons
- ✗Steeper learning curve than the low-code positioning implies; reviewers testing it over four weeks found most of the effort went into setup rather than output
- ✗Documentation is repeatedly described as incomplete or inconsistent, and reviewers report burning consumption credits debugging simple workflows
- ✗Debugging complex multi-agent flows is trial-and-error, with limited tooling to see why a run went wrong
- ✗Integration coverage and custom tooling are thinner than established competitors, so bespoke connectors are often needed
- ✗Per-run metering penalises inefficiently designed agents and charges for test runs, making build-out costs hard to forecast
- ✗Vendor maturity is a real procurement question — the company was founded in 2023 and Hacker News discussion is almost entirely first-party posts with one to three points and no substantive practitioner debate
- ✗Advanced governance and full orchestration are gated behind a quoted Enterprise tier, so the published per-run price is not the whole product
- ✗The open-source repositories are small — the flagship lyzr-automata framework sits at roughly 277 GitHub stars — so the community safety net is limited
Pricing
Lyzr Cloud
From $0.08 per agent run
- ✓Fully managed cloud infrastructure
- ✓No compute cost overhead
- ✓Knowledge base, tool, agent and memory calls included in the run
- ✓Responsible AI guardrails and security policies on every run
- ✓LLM usage billed as pass-through
Lyzr VPC / On-Prem
From $0.03 per agent run
- ✓Self-hosted in the customer's own environment
- ✓Full data sovereignty and IP ownership
- ✓Usage-based compute costs
- ✓LLM usage billed as pass-through
Enterprise
Contact for pricing
- ✓Advanced governance features
- ✓Full orchestration capabilities
- ✓Custom agreement and support
Lyzr publishes its rates, which is genuinely unusual here: $0.08 per agent run on managed cloud and $0.03 per run self-hosted, with unlimited users and every knowledge-base, tool, agent and memory call inside a run counted as one charge. LLM tokens and, for self-hosted, compute are pass-through on top, so the headline rate is a floor rather than the bill. The metering also penalises inefficiently designed agents — a chatty agent costs more per outcome — and independent reviewers report a consumption-based credit system that charges for debugging and testing runs, which can burn budget during build-out. A third-party review lists Studio tiers at Community $0, Starter $19/month and Pro $99/month (or $79 annually), but Lyzr's own pricing page shows only the per-run rates; advanced governance and full orchestration sit behind a quoted Enterprise agreement.
Security & Compliance
Connect
Sources
This page was written from 9 sources, 6 on domains other than lyzr.ai.
- 1.lyzr.ai — lyzr.aivendor
- 2.lyzr.ai — pricingvendor
- 3.lyzr.ai — about usvendor
- 4.salesforge.ai — lyzr ai review
- 5.aiagentsquare.com — lyzr
- 6.pymnts.com — lyzr valuation jumps 250 million dollars enterprises deploy
- 7.newsroom.accenture.com — accenture invests in lyzr to bring agentic ai to banking and
- 8.api.github.com — repos
- 9.hn.algolia.com — search
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