Vectorize
Vectorize builds Hindsight, an open-source AI agent memory system using multi-strategy TEMPR retrieval and reflection-based learning, sold as a token-priced managed cloud service plus free self-hosted tier for developers building AI agents with persistent memory.
- Company typePrivate
- Founded2024
- HeadquartersDover, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Vectorize does
Vectorize is an AI infrastructure company that builds Hindsight, a memory system for AI agents. Founded in 2022 and headquartered in Dover, Delaware as a remote-first team of 1-10 employees, Vectorize operates a product-led growth motion anchored by Hindsight, an MIT-licensed open-source AI agent memory system. The core technology is a TEMPR (Temporal, Entity, Memory, Perception, Retrieval) multi-strategy hybrid retrieval engine that runs four parallel search methods (semantic vector search, BM25 keyword search, entity graph traversal, and temporal filtering) simultaneously, fusing results with cross-encoder reranking. A four-tier memory hierarchy organizes information from raw World Facts and Experiences up through synthesized Observations to curated Mental Models, with a reflection layer that consolidates individual facts into durable patterns and learns from agent mistakes via the Hindsight Learn mechanism.
The company's commercial offering, Hindsight Cloud, is a managed cloud service wrapping the open-source core with Python and TypeScript SDKs, RESTful API, native MCP (Model Context Protocol) integration for Claude Code, Cursor, Windsurf, and VS Code, team management with role-based access control, bank-scoped API keys, multi-organization support, and SOC 2 Type 2 certification. Revenue comes from a token-based usage pricing model ($1 per credit, packages from $5-$100, auto-recharge via Stripe) measuring Retain, Recall, Reflect, Mental Model, and Iris file conversion tokens, supplemented by enterprise billing with Net 30/60 invoicing and dedicated support. The customer base spans individual developers consuming the free self-hosted tier or low-volume cloud credits, through design-partner enterprises with named logos including Nvidia, Groq, and Electronic Arts. Recent product velocity (15+ releases between February and May 2026) and the company's positioning against incumbent memory systems (Zep, Mem0, Letta, Cognee, Supermemory) suggest an early-stage company in active scaling mode following its $3.6M seed round led by True Ventures in October 2024.
Vectorize firmographics
Firmographics- Name
- Vectorize
- Legal name
- Vectorize, Inc.
- Website
- https://vectorize.io
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Vectorize builds Hindsight, an open-source AI agent memory system using multi-strategy TEMPR retrieval and reflection-based learning, sold as a token-priced managed cloud service plus free self-hosted tier for developers building AI agents with persistent memory.
- Ownership category
- akta.pro rank
Vectorize industry classification
Industry- Product category
- AI Agent Memory Infrastructure
- NAICS
- Computer Training (611420)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industry
- Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding (HDAAACAE)
Keywords
Where Vectorize is headquartered
LocationHeadquarters
- HQ city
- Dover
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Vectorize business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Hindsight Cloud - Usage-based Credits: Token-based usage pricing measured in tokens: Retain tokens (storing memories), Recall tokens (searching/retrieving), Reflect tokens (AI-powered insights), Mental Model tokens (creating/refreshing/retrieving mental models), and File Conversion (Iris) tokens. Credits purchased via Stripe at $1 per credit with packages from $5-$100 or custom amounts. Auto-recharge available.
- Enterprise Billing: Monthly invoicing (Net 30, Net 60), dedicated support, and bulk discounts for contracted or annual customers. Contact sales for custom pricing.
- Free Self-Hosted: MIT-licensed open source Hindsight available for free self-hosting with one Docker command. No external database dependencies. This drives adoption and conversion to paid cloud tier.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Self-hosted (Free) |
| Usage-based | Pay-as-you-go | Usage-based Cloud (Hindsight Cloud) |
| Subscription | Multi-year contract | Enterprise Custom |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
Vectorize product offering
Product offeringCore offering
Vectorize builds Hindsight, an AI agent memory system that gives AI agents persistent, learning memory across sessions. The open-source MIT-licensed Hindsight product organizes memories into a hierarchy (World Facts, Experiences, Observations, Mental Models) and exposes three operations (Retain, Recall, Reflect) supported by TEMPR hybrid retrieval. Hindsight Cloud is the managed service wrapping Hindsight with token-based API/SDK access, MCP integration, SOC 2 Type 2 compliance, and enterprise features. Vectorize also offers a Retrieval Augmented Generation platform for business data integration with AI.
Product overview
Vectorize offers two complementary products: Hindsight (open-source, MIT licensed) and Hindsight Cloud (managed cloud service). Hindsight is an AI agent memory system built around three core operations — Retain (extracts and stores structured facts), Recall (multi-strategy TEMPR retrieval), and Reflect (LLM-powered synthesis) — organized into Memory Banks with a hierarchy of World Facts, Experiences, Observations, and Mental Models. Hindsight Cloud wraps the core system in a managed service with Python/TypeScript SDKs, MCP integration, team management, token-based billing, and SOC 2 Type 2 compliance. Both versions support Memory Defense for OWASP ASI06 attack protection. The open-source version runs in a single Docker container with embedded PostgreSQL; the cloud version adds enterprise features including bank-scoped API keys, multi-organization support, and usage analytics.
Differentiator
Problem solved
Functional benefit
Brands
- Hindsight: Open-source AI agent memory system that enables AI agents to remember, learn, and reason through persistent memory across sessions. Achieved 94.6% on LongMemEval benchmark.
- Hindsight Cloud
Products and services
- Hindsight (Open Source) Open-source (MIT licensed) AI agent memory system that gives AI agents persistent, learning memory across sessions. Organizes memories into World Facts, Experiences, Observations, and Mental Models and exposes three core operations: Retain (store structured facts), Recall (multi-strategy retrieval via TEMPR), and Reflect (LLM-powered synthesis). Achieves 94.6% on the LongMemEval benchmark. Self-hostable with a single Docker command and embedded PostgreSQL.
- Hindsight Cloud Managed cloud service for Hindsight providing RESTful API access, Python and TypeScript SDKs, MCP integration, team management with role-based access control, usage analytics, token-based pricing, bank-scoped API keys, multi-organization support, and SOC 2 Type 2 compliance. Targets developers and enterprise teams building production AI agents.
- Vectorize RAG Platform Retrieval Augmented Generation platform that enhances how businesses utilize data for AI applications by combining pre-trained knowledge with real-time access to organization-specific data. Targeted at enterprise teams integrating proprietary data with AI applications.
Quantifiable outcome
- 94.6% accuracy on LongMemEval benchmark (vs 85.2% SuperMemory, 71.2% Zep, 60.2% GPT-4o)
- +2 more outcomes
Companies that use Vectorize
Customer profileNamed customers5 records
Segments3 records
Ideal customer profiles3 records
Vectorize technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability6 records
Feature6 records
Vectorize partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- Virginia TechcoreResearch collaboration on Hindsight open source memory architecture. Virginia Tech researchers collaborated on the LongMemEval benchmark development and memory system architecture, achieving 91.4% accuracy.
- The Washington PostcoreResearch collaboration on Hindsight open source memory architecture. The Washington Post researchers collaborated on the LongMemEval benchmark development and memory system architecture, achieving 91.4% accuracy.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
Vectorize competitors and assessment
Company assessmentBroad incumbents
- LangChain: LangChain is a broader LLM application framework that includes memory abstractions as part of its agent and chain toolkit. Has significantly more resources and a larger developer community, making it a competitive threat if memory becomes a more visible feature.
- Weaviate: Weaviate is an open-source vector database with hybrid search capabilities including BM25 and semantic search. Comparable in retrieval technology and partly overlaps with Hindsight's TEMPR approach.
- Pinecone: Pinecone is a managed vector database used by many agent and RAG systems as the retrieval substrate. While not a direct memory-layer competitor, it overlaps in the retrieval infrastructure category.
- LlamaIndex: LlamaIndex is a data framework for LLM applications with RAG and memory capabilities. Comparable as an adjacent incumbent with overlapping retrieval and indexing primitives for agent use cases.
- Redis (with vector search): Redis has expanded into vector search and serves as a memory and retrieval backend for many agent applications. Represents a broad incumbent that could expand memory-specific features for agents.
Direct peers
- Cognee: Cognee is an open-source knowledge and memory layer for LLMs combining vector search, graph databases, and LLMs. Competes with Hindsight on hybrid retrieval and knowledge graph construction for agents.
- Mem0: Mem0 provides a self-improving memory layer for AI agents with persistent, personalized memory across LLM applications. Directly competes with Vectorize in the AI agent memory category with overlapping open-source and cloud offerings.
- Letta: Letta builds stateful agents with persistent memory and context management, offering both open-source frameworks and a managed cloud. Direct competitor in the agent memory infrastructure category.
- SuperMemory: SuperMemory provides infinite context memory for AI applications and is directly benchmarked against Hindsight on LongMemEval (85.2%). Operates in the same agent memory category.
- Zep (Graphlit): Zep offers a long-term memory service for AI assistants with fact extraction, semantic search, and summarization. Competes directly in agent memory and is benchmarked alongside Hindsight on LongMemEval (71.2%).
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Vectorize social profiles
Digital presenceVectorize compliance and trust
Trust signalCompliance1 record
Vectorize financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vectorize leadership team
Management profileNumber of profiles
Profiles1 record
Vectorize funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vectorize M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Vectorize
What does Vectorize do?
Vectorize builds Hindsight, an AI agent memory system that gives AI agents persistent, learning memory across sessions. The open-source MIT-licensed Hindsight product organizes memories into a hierarchy (World Facts, Experiences, Observations, Mental Models) and exposes three operations (Retain, Recall, Reflect) supported by TEMPR hybrid retrieval. Hindsight Cloud is the managed service wrapping Hindsight with token-based API/SDK access, MCP integration, SOC 2 Type 2 compliance, and enterprise features. Vectorize also offers a Retrieval Augmented Generation platform for business data integration with AI.
Is Vectorize a public or private company?
Vectorize is a private company. It is classified as venture growth investor backed and is currently operating.
When was Vectorize founded?
Vectorize was founded in 2024. It employs 1 to 10 people.
Where is Vectorize based?
Vectorize is headquartered in Dover, United States, in the North America region.
How does Vectorize make money?
Three revenue lines are on record. Hindsight Cloud - Usage-based Credits are the primary driver. The others are enterprise Billing and free Self-Hosted.
Who are Vectorize's main competitors?
Broad incumbents on record are LangChain, Weaviate, Pinecone, LlamaIndex and Redis (with vector search). Direct peers are Cognee, Mem0, Letta, SuperMemory and Zep (Graphlit).
Does Vectorize have an API?
Yes. RESTful API for Hindsight Cloud with Bearer token authentication (API keys prefixed with 'hsk_'). Supports core memory operations (retain, recall, reflect), mental models, directives, documents, operations, webhooks, audit logs, scoped API keys, memory defense, and bank management. Python and TypeScript SDKs available. Also supports MCP (Model Context Protocol) OAuth 2.0 with dynamic client registration. Developer documentation is at docs.hindsight.vectorize.io/api-reference/hindsight-cloud-api.
What industry is Vectorize in?
Vectorize's product category is AI Agent Memory Infrastructure. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAAACAE, Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding. Its NAICS code is 611420 and its SIC code is 7372.