SenseLab

What SenseLab does

SenseLab Corp is a private, Mountain View, USA-based software company that builds a cognitive layer infrastructure for multi-agent AI systems. Its core product is delivered as an MCP (Model Context Protocol) server, with Python and TypeScript SDKs and a Mac OS desktop application (version 3.0.1), and exposes a shared knowledge graph with confidence scoring, version control, decision traces, coordination rooms, and a briefing system. The platform is provider- and framework-neutral, integrating with Cursor, Claude Code, CrewAI, LangGraph, AutoGen, LangChain, and Strands, as well as with model providers OpenAI, Anthropic, and Google Gemini, so that agents built on different stacks can read from and write to a common memory store, validate which knowledge actually worked in production, and accumulate SFT/DPO training data as a side effect of operations.

The commercial model is a tiered, self-serve SaaS sold through the website and the MCP registry without a sales motion at the low end. Pricing ranges from a free tier (1,000 operations per month, 1 seat, 1 API key) through Starter at $29/month, Pro at $149/month, Premium at $279/month, and a Standard plan at $1,430/month, with billing on operations volume, seats, and API keys. The company positions itself to teams running multiple AI agents, claiming traction of 10,000+ teams, 1M+ AI tasks per day, and a 4.9 rating from 11,500+ customers on SaaS Hunt, and displays enterprise reference logos including OpenAI, MicroStrategy, Nabla, Wolfram, Common Crawl, RealPage, Bulbhead, and Stemlife Biotechnology.

SenseLab appears to be founder-led and self-funded, with no disclosed venture capital or private equity investment. The company has 1-10 employees, is legally domiciled in the United States as SenseLab Corp, and shows no subsidiaries, parent entities, or public listing. GTM is product-led and content-led, with technical blog posts on agent cognition and memory serving as top-of-funnel demand generation, supplemented by a GitHub presence and a LinkedIn company page. No revenue figures, funding rounds, or formal founding date are disclosed in the available material.

Name

SenseLab

Legal name

SenseLab Corp

Website

https://sense-lab.ai

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

SenseLab Corp is a Mountain View-based software company that builds a cognitive layer infrastructure for multi-agent AI systems, enabling agents built across frameworks to share knowledge, trace decisions, and compound learning via MCP or SDK.

Ownership category

akta.pro rank

Product category

AI Agent Infrastructure / Developer Tools

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro industry

PRIMARYHDAEANAJ

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAEANAH

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAAAKAL

Audit, Explainability & Accountability Tooling (traceability, reporting)

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Security, Privacy & Model Governance

Keywords

• Multi-agent orchestration
• AI agent infrastructure
• Cognitive memory layer
• Agent observability
• AI developer tools

Headquarters

HQ city

Mountain View

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Subscription SaaS: Tiered subscription model with per-seat and per-ops (operations) pricing. Free tier with limited ops; paid tiers offer increased seats, API keys, and support levels.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels3 records

Core offering

SenseLab provides a cognitive layer for multi-agent AI systems, offering shared knowledge, confidence scoring, decision tracing, version control, and coordination "rooms" so that AI agents retain context, learn from prior outcomes, and avoid repeating mistakes. The platform is delivered as a subscription SaaS with SDKs (Python, TypeScript), an MCP server, and a Mac OS desktop application for running local agents.

Product overview

SenseLab is a cognitive layer platform for multi-agent AI systems, consisting of a core cognitive infrastructure plus multiple AI-powered features. The platform includes AI Automation for handling repetitive tasks, Image Generation for creating visuals from prompts, Smart Voice Assistant for voice-based interactions, AI Chatbot for real-time conversations, Code Generation for producing code snippets, and Text Generation for creating written content. All features are powered by the shared cognitive layer enabling agents to share knowledge, validate outcomes through confidence scoring, and compound learning across runs. The platform connects to existing agent frameworks including Cursor, Claude Code, CrewAI, LangGraph, AutoGen, and LangChain via MCP or SDK integration. Pricing tiers include Free (1,000 ops/month), Starter ($29/month, 25,000 ops/month), and Pro ($149/month, 50,000 ops/month).

Differentiator

Problem solved

Functional benefit

Products and services

• SenseLab Cognitive Layer Platform Subscription SaaS platform that gives multi-agent AI systems persistent shared knowledge, confidence scoring, decision tracing, version control, coordination "rooms," and auto-generated SFT/DPO training signals, delivered via SDKs (Python, TypeScript), MCP server, and web dashboard for teams building production AI agents.
• SenseLab Mac OS Desktop App Standalone downloadable Mac OS application that brings the SenseLab cognitive layer to the local desktop, enabling individual developers and small teams to run, observe, and coordinate AI agents on their own machines without cloud setup.

Named customers8 records

Segments1 record

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration11 records

AI capability9 records

Feature8 records

Partnerships

13 partnerships are on record, tiered core and supporting.

• CursorcoreTechnology or IntegrationFramework integration. SenseLab works with Cursor IDE, allowing agents in Cursor to share memory across the SenseLab cognitive layer. Users configure MCP in .cursor/mcp.json to connect.
• Claude CodecoreTechnology or IntegrationFramework integration. Claude Code connects to SenseLab via MCP, enabling shared agent memory for Claude Code sessions. Configured via claude_desktop_config.json.
• CrewAIcoreTechnology or IntegrationFramework integration. SenseLab provides AMFSStorageBackend for CrewAI, allowing crew memory to flow through the versioned, attributed SenseLab store.
• LangGraphcoreTechnology or IntegrationFramework integration. AMFSCheckpointer available for LangGraph, enabling graph state to survive restarts via SenseLab memory.
• AutoGencoreTechnology or IntegrationFramework integration. AutoGen agents can connect to SenseLab to share memory and coordinate decisions.
• LangChaincoreTechnology or IntegrationFramework integration. LangChain agents can integrate with SenseLab cognitive layer for shared memory capabilities.
• OpenAIcoreTechnology or IntegrationIntegration with OpenAI models. OpenAI-based agents can connect to SenseLab via SDK, reading and writing to the shared memory store.
• Anthropic (Claude)coreTechnology or IntegrationIntegration with Anthropic Claude models. Claude agents connect via MCP or SDK to SenseLab shared memory.
• Google DrivesupportingTechnology or IntegrationThird-party service integration. Users may authorize connections to Google Drive for data synchronization within SenseLab services.
• NotionsupportingTechnology or IntegrationThird-party service integration. Users may authorize connections to Notion for data synchronization within SenseLab services.
• TimescalesupportingTechnology or IntegrationInfrastructure partner for database services. Timescale provides the database infrastructure powering SenseLab services.
• CloudflaresupportingTechnology or IntegrationInfrastructure partner for content delivery and security services. Cloudflare provides CDN and security for SenseLab infrastructure.
• Google GeminisupportingTechnology or IntegrationThird-party AI processing. Content may be processed by Google Gemini when users elect to utilize AI features through SenseLab.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Emerging players

• Weaviate: Weaviate is an open-source vector database with agent and memory features. It competes in adjacent layers of the agent infrastructure stack and represents an alternative foundation for the same use cases SenseLab addresses.
• Pinecone: Pinecone is a managed vector database extending into agent memory and knowledge retrieval. It is an adjacent infrastructure peer whose vector search capabilities form part of the agent memory stack SenseLab competes against or integrates with.
• Chroma: Chroma is an open-source embedding database used for AI memory and retrieval. It is an emerging player whose agent memory use cases overlap with SenseLab's cognitive layer for developers building multi-agent systems.

Direct peers

• Mem0: Mem0 provides a memory layer for AI agents and LLMs, offering persistent memory across sessions. It is a direct competitor to SenseLab's cognitive layer, addressing the same core problem of cross-agent memory and learning.
• Letta: Letta (formerly MemGPT) builds persistent memory and state management for AI agents. It targets the same use case as SenseLab — maintaining context and learning across agent runs — making it a directly comparable infrastructure peer.
• Cognee: Cognee offers an open-source knowledge graph and memory layer for AI applications, including agent stacks. It overlaps with SenseLab on knowledge graph construction and agent memory, representing an emerging player in the same niche.
• Zep (now Zep AI): Zep provides long-term memory and context retrieval for AI assistants and agents. Its memory store with temporal awareness competes directly with SenseLab's shared knowledge graph and confidence-weighted retrieval.

Broad incumbents

• LlamaIndex: LlamaIndex provides data frameworks for LLM applications including memory, retrieval, and agent orchestration. It is a broader incumbent whose memory and indexing features overlap with parts of SenseLab's cognitive layer.
• LangChain: LangChain is a broad agent orchestration framework with memory modules. While LangChain offers memory features, SenseLab is an integration partner, making LangChain both a potential distribution channel and a competitor that could expand its own memory offering.
• Redis (with RedisVL / agent memory): Redis has expanded into vector search and agent memory use cases. As a broad incumbent data platform, its agent memory offerings position it as an alternative foundation that could subsume parts of SenseLab's stack.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/raia-live/amfs
• LinkedInlinkedin.com/company/senselabai

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about SenseLab