Lyzr
Also known as: Lyzr AI, Lyzr Agent Studio, Lyzr ADK, Cognis, SuperFlow, Architect, LyzrCore
Enterprise platform and control plane for building, evaluating, deploying and governing AI agents, including agents built on other frameworks.
Lyzr is an enterprise platform for building and running AI agents, aimed squarely at the problem that stalls most corporate AI projects: getting agents out of a sandbox and into governed, reliable production. Rather than a single chatbot, Lyzr frames its goal as an entire AI workforce, networks of specialized agents operating across a company's systems, and positions itself as the infrastructure and control plane that lets organizations deploy, monitor, and govern those agents at scale.
Teams build on Lyzr through a low-code Agent Studio and SDK, or through Architect, where you describe a workflow in plain English and the platform assembles the agent, its logic, its integrations, access controls, and a usable interface. A library of pre-built agent blueprints spans common enterprise functions, from sales and marketing to HR, finance, banking, insurance, and customer service, so teams can start from a proven template rather than from scratch. For more complex work, an orchestration layer lets multiple specialized agents collaborate on end-to-end, multi-step processes, sharing context and delegating tasks across departments.
What distinguishes Lyzr from a pure developer toolkit is its emphasis on the controls enterprises need to trust agents in production. A simulation engine lets teams test an agent before it ships, full observability traces every run in real time, and responsible-AI guardrails check outputs for hallucinations and personally identifiable information before they reach a user. Layered on top are access and governance controls over who can see and modify each agent, plus audit logging and compliance features that make every action and decision traceable, which matters most in regulated industries.
Lyzr is deliberately model-agnostic, so enterprises can run agents on models from different providers and swap them without rewriting, avoiding lock-in to a single vendor. It also supports deployment in a company's own private cloud or on-premises, with locally deployable SDKs and private APIs, addressing data-privacy, compliance, and latency requirements while letting the customer retain ownership of its data and the agents it builds. The result is a platform pitched less at experimentation and more at operationalizing AI across an organization.
Vendor details
Canonical URL
https://www.lyzr.ai
Category
Agent builder
Subcategory
Full-stack agent platform and multi-framework control plane (Agent Studio, Architect, ADK, SuperFlow)
Funding status
Series A. The vendor's own site carries press-recognition badges citing a $100M fundraise at a $500M valuation and a Yahoo Finance headline about the round being run by its own agent; third-party coverage separately reports an ~$8M Series A in March 2026 led by Rocketship.vc with Accenture among backers at a reported ~$250M valuation. The two accounts are not reconcilable from first-party material and no funding announcement page was reached, so both are recorded as reported rather than confirmed.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Two distinct integration surfaces. For tool calling, agents use built-in connectors such as Slack and CRM systems, custom REST integrations, and native Model Context Protocol support so any MCP-compliant tool plugs in; tools can send email, query databases or call any custom API, and Architect wires in existing ERP, CRM, HRIS and document systems. Tools are metered per tier at 5, 10 and 25 on Community, Starter and Pro, unlimited on Enterprise. Separately, the control plane registers and governs agents built on other frameworks and clouds without migration, named as LangChain, CrewAI, AutoGen, Agentforce, AWS Bedrock, Azure AI, GCP Vertex and on-prem stacks. Knowledge ingestion covers documents, databases, websites, spreadsheets and live data sources, with vector-store selection and an External Knowledge path. Models route per agent across OpenAI, Anthropic, Gemini, Bedrock and DeepSeek, with Bring Your Own Model on Enterprise. Voice agents deploy over Twilio, Telnyx and Plivo. Outbound, every agent exposes a REST endpoint, and a Python and TypeScript SDK plus raw REST APIs make each module callable as a service.
In practice
Your AI agent works in a demo but stalls before production because of governance and compliance. Lyzr adds a simulation engine, observability, guardrails for hallucinations and PII, and audit logging so the agent can be trusted live.
You want to automate work across HR, finance, and support without building each agent from scratch. Lyzr's blueprint library gives you pre-built agents per function, and an orchestration layer lets them collaborate on multi-step processes.
Regulatory rules mean your data can't leave your environment. Lyzr deploys in your private cloud or on-premises with private APIs, runs on the model of your choice, and lets you keep ownership of your data and agents.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
12.5 / 14 capabilities · 89%
| Integrations & Tool Calling | Full |
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The docs carry a dedicated Integrations section and document adding built-in connectors such as Slack and CRM systems or custom REST integrations when configuring an agent, with tools able to send email, query databases or call any custom API. Native tool connectors are named as a built-in module replacing Composio and custom connectors, and Model Context Protocol support is native so any MCP-compliant tool plugs in. Architect is documented as wiring in existing ERP, CRM, HRIS and document systems. Separately, agents built on LangChain, CrewAI, AutoGen, Agentforce, Bedrock and Vertex register into the control plane. The plan table caps tools at 5, 10 and 25 across Community, Starter and Pro, unlimited on Enterprise. Sourcedocs.lyzr.ai integrations, quickstart and plansread 2026-08-31 |
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| Workflow Orchestration | Full |
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The platform overview documents running multi-agent workflows with either deterministic orchestration via SuperFlow or dynamic orchestration via a Manager agent, and names Manager Agent plus SuperFlow as replacing n8n, Temporal and custom orchestration. The Agent API documents a manager agent receiving a managed_agents array of sub-agents with names and descriptions so it can select the appropriate one for a task, and a Lyzr Agent Orchestrator is named as part of an AgentMesh. The plan comparison table meters Orchestration as Limited on Community, Starter and Pro against Full on Enterprise. Durable exactly-once execution with clean rollback is claimed on the product page only. Sourcedocs.lyzr.ai platform intro, manager agent API and plansread 2026-08-31 |
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| Knowledge Grounding & RAG | Full |
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Enterprise RAG with secure retrieval is named as a built-in module replacing Weaviate, Pinecone and custom pipelines, and the platform documents connecting agents to documents, databases, websites and live data sources. The Studio quickstart documents attaching PDFs, web URLs, databases or spreadsheets as knowledge sources, the ADK exposes RAG as a core agent feature with programmatic knowledge-base construction including website ingestion with a page limit, and the REST build path sets a default vector store at project creation. A Knowledge Graph module sits alongside, and Knowledge Base as a Service is documented as an API-accessible retrieval layer. Knowledge bases and RAG storage are metered per tier at 5, 10 and 15 bases and 100MB, 100MB and 1GB. Sourcedocs.lyzr.ai platform intro, ADK, quickstart, API build path and plansread 2026-08-31 |
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| Human Oversight & Guardrails | Full |
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The platform overview documents applying guardrails for toxicity detection, PII redaction, prompt-injection blocking and hallucination reduction, and names Safety Guardrails and a Hallucination Manager as built-in modules; the ADK exposes responsible-AI guardrails as an agent-level feature. Enforcement is described as configurable to block, flag or reroute an output before it reaches a user. The documented plan comparison table gates both Responsible AI and Hallucination Manager to the custom-priced Enterprise tier, absent on Community, Starter and Pro. A human-in-the-loop primitive on the SuperFlow canvas and approval gates in the deployment pipeline are claimed on the product page but were not found in the documentation. Sourcedocs.lyzr.ai platform intro, ADK overview and plansread 2026-08-31 |
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| Security, Identity & Governance | Full |
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The platform overview documents managing teams with role-based access control, audit logs and SSO/SAML, and names Access and Governance as a built-in module covering roles and permissions, alongside cost controls with usage and budgets. It states the platform is HIPAA and SOC 2 compliant. Product pages add RBAC scoped at the agent, tool and data level, SSO against the customer's own identity provider, explicit reviewable revocable permissions, immutable timestamped audit logs on every agent decision and tool call with one-click compliance export, an Agent Entitlement Protocol, and badges for SOC 2 Type II, ISO 27001, GDPR, HIPAA and CCPA. No trust portal, named auditor or report-request route was reached. Sourcedocs.lyzr.ai platform intro, lyzr.ai control plane and compliance sectionsread 2026-08-31 |
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| Observability & Auditability | Full |
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The platform overview documents tracing every agent run step by step with latency metrics for each step, and names Full Observability as a built-in module replacing LangFuse and LangSmith. Audit logs are documented alongside role-based access control and SSO, monitoring and analytics endpoints are retrievable through the REST API for usage metrics, log files and performance dashboards, and the product page adds token usage and cost per interaction with alerting on degradation. Log retention is metered by tier: seven days on Community, Starter and Pro, customisable only on Enterprise. Sourcedocs.lyzr.ai platform intro, API build path and plansread 2026-08-31 |
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| Memory & State Persistence | Full |
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The ADK documentation states that memory allows agents to maintain conversation context across sessions and exposes it as a configurable agent property; the Studio quickstart documents Memory Modules with selectable short-term or long-term memory for context retention; the platform overview names a Cognis memory layer providing persistent context and positions it as replacing Mem0 and custom session stores; and the Agent API cookbook shows memory declared as a typed environment feature, with memory configuration also set at project creation through the REST API. Sourcedocs.lyzr.ai ADK overview, quickstart, platform intro and Agent API cookbookread 2026-08-31 |
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| Deployment & Data Residency | Full |
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Three documented deployment modes: Lyzr Cloud as managed SaaS, on-premise with the platform running inside the customer's own VPC and data never leaving their environment, and hybrid with orchestration in the cloud while data connectors run on-premise. Regional hosting is documented for deployments with requirements. The product pages add air-gapped operation with models, agents and data inside the customer's VPC, region and keys, one-click VPC deployment and Bedrock-native running, and the open-source framework can be run locally. Deploy on Lyzr Cloud or On-Prem is listed as an Enterprise entitlement in the plan table. Sourcedocs.lyzr.ai platform intro and plans, lyzr.ai sovereign AI and Agent Studio pagesread 2026-08-31 |
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| Prebuilt Agents, Templates & Packs | Full |
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The documented plan comparison table meters Blueprints as a tiered entitlement, Few on Community, Starter and Pro against All on Enterprise, and Enterprise is described as including access to all Blueprints. The Studio quickstart documents starting a new agent by selecting a template or starting from scratch, and a Blueprint Library is named as the first stage of the vendor's agent development lifecycle. Named pre-built role agents ship with dedicated pages, including an SDR, marketer, HR, support, competitor-analysis and RFP agent, and blueprints are described as spanning banking, insurance, HR, procurement and support functions. Sourcedocs.lyzr.ai plans and quickstart, lyzr.ai product pagesread 2026-08-31 |
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| Triggers & Channel Coverage | Partial |
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Channels are documented: voice agents deploy over telephony providers including Twilio, Telnyx and Plivo, every agent exposes a callable REST endpoint on creation, a Custom UI Builder ships branded interfaces, and built-in connectors reach chat systems such as Slack. No scheduled, recurring, cron, event or webhook trigger mechanism was found in the platform overview, the Studio quickstart, the API build path or the documented agent development lifecycle, which covers design, build, evaluate, deploy, observe and govern without a trigger stage. Sourcedocs.lyzr.ai platform intro, quickstart and API build pathread 2026-08-31 |
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| Model Flexibility & Routing | Full |
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The ADK sets the model as a per-agent provider property in code, and the Agent API takes an llm_config naming provider, model and parameters per environment. The Agent Studio page states each agent can be routed to OpenAI, Anthropic, Gemini, Bedrock or DeepSeek, the control plane is described as sitting above the LLM choice so models swap with a single config change without touching agent logic, and cost comparison across models is built in. The plan comparison table meters model access as Limited on Community, Starter and Pro, with All Models plus Bring Your Own Model on Enterprise. Sourcedocs.lyzr.ai ADK, Agent API cookbook and plans, lyzr.ai Agent Studio pageread 2026-08-31 |
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| APIs, SDKs & MCP Extensibility | Full |
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A versioned REST API is documented with a full endpoint reference covering authentication, request and response formats and example payloads, and every deployed agent exposes its own endpoint and key through an Agent API surface in Studio. A Python Agent Development Kit installs from pip as lyzr-adk with documented agent creation and execution, a TypeScript SDK is also named, and the platform is described as spanning a visual no-code studio, a Python and TypeScript SDK, and raw REST APIs. Model Context Protocol support is native so any MCP-compliant tool plugs in, the core framework is open source on GitHub, and an API build path documents CI/CD-driven agent deployment. Sourcedocs.lyzr.ai API reference, ADK overview and platform introread 2026-08-31 |
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| Testing, Debugging & Optimization | Full |
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The platform overview documents evaluating agents with automated test-case generation and production-readiness scoring, and names Agent Eval as a built-in module replacing external evaluation tooling. A Simulation Engine is described as running thousands of domain-specific, adversarial and edge-case scenarios before deployment, with pre-built test suites for regulated domains, regression re-runs of the same simulations when models upgrade or prompts change, and drift detection feeding production traces back into the next test suite. The Studio quickstart documents a built-in chat simulator for sending sample queries during build. The documented plan table gates Agent Eval to Enterprise. Sourcedocs.lyzr.ai platform intro, quickstart and plans, lyzr.ai simulation engineread 2026-08-31 |
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| Browser & Computer Use | Unable to verify |
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No browser, desktop or computer-use capability appears in the platform overview's list of what the product does, in the Agent Development Kit, in the Studio quickstart, in the documented plan comparison table, or among the named platform modules, which cover agent framework, orchestration, memory, RAG, tool connectors, voice, guardrails, hallucination control, runtime, observability, evaluation, UI building, access governance and cost management. External action is documented only through connectors, custom REST calls and MCP-compliant tools, all of which are programmatic interfaces. Two product names, Lyzr Nitro and Lyzr Optimus, were not documented on any page reached. Sourcedocs.lyzr.ai platform intro, ADK, quickstart and plansread 2026-08-31 |
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The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Lyzr launched Sovereign AI, a solution providing enterprise-grade governance for regulated industries. It enables organizations to build, deploy, and govern AI agents for mission-critical operations while maintaining strict data sovereignty and compliance.
Bears on: Deployment / data residency
View sourceLyzr open-sourced SivaClaw, the AI agent it initially built to support its own Series B fundraising process. The agent runs on GitAgent using the OpenGAP protocol and handles automated workflows like investor communication, diligence material organization, and company briefings.
Bears on: Agent capability
View sourceLyzr released the Agent Improvement Engine, which analyzes live production traces to detect quality issues in deployed agents. Its Agent Hardening layer spots failure patterns and auto-generates recommendations to revise an agent's instructions or goals.
Bears on: Observability / auditability
View sourcePricing
From $19/mo + per-run ($0.08 Cloud/$0.03 VPC) + LLM
hybrid
Included quota
Confirmed from the vendor's own docs plans page 2026-08-31. Community (free): 10 agents, 500 credits/month, 1 builder licence, 5 knowledge bases, 100MB RAG storage, 5 tools, limited orchestration, limited models and blueprints, 7-day logs, email support. Starter ($19/month, monthly only, no yearly option): 15 agents, 2,000 credits/month, 1 builder licence, 10 knowledge bases, 100MB RAG storage, 10 tools, limited orchestration, limited models and blueprints, 7-day logs, email support. Pro ($99/month, or $79/month billed yearly with 120K credits/year): 25 agents, 10,000 credits/month, 1 builder licence, 15 knowledge bases, 1GB RAG storage, 25 tools, limited orchestration, limited models and blueprints, 7-day logs, a few Super Agents, email support. Enterprise (custom): unlimited agents and knowledge bases, custom credits and storage, unlimited tools, FULL orchestration, all models plus Bring Your Own Model, all blueprints, unlimited Super Agents, team collaboration, Agent Entitlement Protocol, Responsible AI, Hallucination Manager, Agent Eval, customisable log retention, deploy on Lyzr Cloud or on-prem, Lyzr Agent Build Services, 48-hour custom integration SLA, 24/7 support. Yearly billing gives two months free.
What is public
Lyzr (lyzr.ai) publishes Agent Studio subscription tiers in its documentation rather than on its pricing page, which is now a narrative per-agent-run page. Four tiers: Community free, Starter $19/month, Pro $99/month or $79/month billed yearly, and custom Enterprise. Tiers scale by agents (10/15/25/unlimited), monthly credits (500/2,000/10,000/custom), knowledge bases (5/10/15/unlimited), RAG storage (100MB/100MB/1GB/custom), tools (5/10/25/unlimited) and log retention (7-day on all three self-serve tiers, custom on Enterprise). All three self-serve tiers carry one builder licence, limited orchestration and limited model and blueprint access. Production usage is billed per agent run on top of the subscription, at a lower rate for customer-hosted deployments, with LLM tokens passed through separately.
Billing mechanics
Three cost layers: (1) a flat SUBSCRIPTION tier with a bundled monthly CREDIT allowance (500 Community / 2,000 Starter / 10,000 Pro / unlimited Enterprise) - credits meter build-time + premium operations (knowledge-base ops, tool calls, specific features); (2) PER-AGENT-RUN production charges billed on top - $0.08/run on Lyzr Cloud, $0.03/run on Lyzr VPC/on-prem; (3) LLM TOKEN costs passed through at provider rates (OpenAI/Anthropic/Google/Bedrock), accruing directly to the model provider. Annual billing gives two months free (Pro $99 to $79/mo). Extra credits top up one-time at $0.01/credit ($10/1,000 up to $5,000/500,000).
Cost watchouts
The subscription is the SMALL part - production agent runs ($0.08/run Cloud) + LLM pass-through dominate at scale (1,000 runs/day on Cloud ~ $80/day ~ $2,400/mo, dwarfing the $99 Pro sub; a 20+-agent workflow ~ $1.02/successful run on-prem); LLM token costs 'frequently exceed the platform fee'; credits get burned by trial-and-error when docs are unclear (a common complaint); VPC/on-prem cuts the per-run rate to $0.03 but is Enterprise-gated; budget 5-10x the subscription
Variable cost rationale
High and multi-layered - flat subscription is minor; the real variable cost is per-agent-run production billing ($0.08 Cloud / $0.03 VPC-on-prem) scaling with invocation volume, PLUS LLM token pass-through (often the largest line), PLUS credit consumption for KB/tool/premium ops; deployment choice (Cloud vs VPC/on-prem) materially changes per-run economics
Additional watchouts
Runtime (per-agent-run) + LLM pass-through are the real bill - the cheap $19/$99 sub is a 'rounding error' at production scale (budget 5-10x); documentation gaps cause trial-and-error that wastes credits (top complaint); setup can feel heavy/complex for small teams; aggregator pricing is a mess (verify on official docs); thin public review/Reddit presence
Overage / add-ons
One-time credit top-ups at a flat $0.01 per credit, confirmed first-party: $10 for 1,000, $50 for 5,000, $100 for 10,000, $1,000 for 100,000 and $5,000 for 500,000 credits, added instantly, no subscription required, available on all plans. Production agent runs are billed separately as you go at $0.08 per run on Lyzr Cloud and $0.03 per run on VPC or on-premise, with no cap; those two rates were not re-confirmed first-party on 2026-08-31. LLM token usage is passed through and billed directly by the model provider at market rates, and frequently exceeds the platform fee at scale.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free
Lowest paid plan
$19/mo
Commercial notes
Positions Agent Studio as the first agent framework with safe/responsible AI natively in the core; strong in regulated verticals (BFSI, insurance, healthcare, IT services); pre-built agentic blueprints + multi-agent orchestration; 75% of customers run 2+ agents; NTT Data case study cites 70,000+ hours saved. NY-based; raised an $8M Series A (Rocketship.vc + Accenture Ventures, 2025) then a $14.5M round led by Accenture (March 2026) at a ~$250M valuation; 400+ enterprise customers (Accenture, AWS, Hitachi Energy, Publicis, AirAsia). Competes with Relevance AI, CrewAI, StackAI, Agentforce; builds agents - NOT a contact-data provider (pair with an enrichment layer for B2B data).
Key ambiguities
THE MATERIAL POINT IS TIER GATING, not price ambiguity: Agent Eval, Responsible AI, Hallucination Manager, Agent Entitlement, team collaboration and on-prem deployment are absent from Community, Starter and Pro entirely, and orchestration is Limited on all three tiers with Full only on Enterprise, so the platform's differentiating capabilities require a custom quote. The public pricing page has been rebuilt as a narrative per-agent-run page rather than a rate card, so the $0.08 Cloud and $0.03 VPC per-run rates on file were NOT re-confirmed first-party on 2026-08-31 and retain their 2026-06-25 verification; the page does state per-agent-run usage billing with Cloud versus VPC/on-prem tiers and illustrates roughly $1 per successful run for a complex multi-agent workflow. The Teams $999 and Organization $2,499 tiers previously noted from aggregators do NOT appear on the first-party plans page and should be treated as stale third-party listings. Starter has no yearly equivalent. What consumes a credit versus what constitutes a billable agent run is still not itemised.
Cancellation / refund
Community free (no card); Starter/Pro self-serve monthly or annual (annual = two months free, Pro $99 to $79/mo); one-time credit top-ups ($0.01/credit, no subscription); Enterprise/On-Prem custom-contracted (50+ licenses, build services); BYOM and on-prem keep data/IP in your environment
Support SLA / resale
Email/help-desk + chat + knowledge-base support (lower tiers); Enterprise adds 24/7 support, a 48-hr custom-integration SLA, dedicated build services, SSO, RBAC, audit logging, Human-in-the-Loop; SOC2/GDPR/ISO 27001 compliant; model-agnostic (OpenAI/Anthropic/Google/Bedrock + BYOM); deploy on Lyzr Cloud, VPC, or on-prem; native 'safe & responsible AI' (Hallucination Manager, PII redaction); integrates with Slack/Salesforce/Snowflake/Pinecone/Perplexity/etc.
Missing data
Aggregators show conflicting numbers (currency/outdated); intermediate Teams ($999)/Organization ($2,499) tiers appear in some listings; exact credit-vs-run consumption rules aren't fully itemized. Seed 'Community free (500 credits); Starter $19/mo (2k); Pro $99/mo (10k; $79/mo AE); Enterprise custom' is accurate for the subscription tiers - but the seed OMITS the key cost driver: production is billed per agent run ($0.08 Cloud / $0.03 VPC-on-prem) on top, plus LLM token pass-through, plus $0.01/credit top-ups.
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Alternatives to Lyzr
The closest documented capability profiles to Lyzr among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- OutSystems13.0 / 14Fuller documented coverage on Triggers & Channel Coverage
- Replit Agent13.0 / 14Fuller documented coverage on Triggers & Channel Coverage
- FLOWX.AI13.5 / 14Adds documented Browser & Computer Use
- Joget11.5 / 14A lighter documented profile than Lyzr
- Langflow11.5 / 14A lighter documented profile than Lyzr
- n8n12.5 / 14Fuller documented coverage on Triggers & Channel Coverage
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded