Orama
- Company typePrivate
- Founded2023
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
Orama firmographics
Firmographics- Name
- Orama
- Legal name
- Orama
- Website
- https://orama.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Orama industry classification
Industry- Product category
- Enterprise AI Search and RAG Platform
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industry
- Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)
Keywords
Where Orama is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Orama business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription - Free Tier: Free tier providing 1M tokens/month with unlimited cached queries, 3 data sources, and 1 user for personal use only. Serves as a lead-generation and onboarding mechanism.
- Subscription - Individual Tier: $20/month subscription for solo professionals. Includes 20M tokens/month, 10 data sources, solo workspace, and email support. Overage charged at $8/1M tokens.
- Enterprise Tier: $40/seat monthly plus usage-based credits for token consumption. Unlimited tokens via credit pool, unlimited users, cross-org data apps, SSO/SCIM/audit logs, SOC 2/HIPAA compliance, custom deployment options, dedicated CSM and SLA. Volume discounts of -20% at 1B tokens/yr and -40% at 10B tokens/yr.
- Usage-based Token Credits: Token-based consumption model where cached queries are free after initial computation. Teams typically reach 60-75% cache hit rate after 90 days, making most repeated queries cost-free.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free - Try Orama on real data with limited access |
| Subscription | Monthly | Individual - For solo professionals using AI across multiple tools |
| Hybrid | Multi-year contract | Enterprise - For orgs processing 1B+ tokens monthly |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Orama product offering
Product offeringCore offering
Orama is an enterprise intelligence layer that sits between AI agents and existing data sources such as Salesforce, Snowflake, Slack, Jira, and Zendesk. It builds an intelligent cache shaped by the questions being asked, combining text, vector, and graph-based retrieval through attention-based indexing to deliver consistent answers at 47ms median latency. The platform is MCP-native, supports 100+ connectors, and adds governance, permissioning, collaboration, and autonomous connector generation via the Amaro enterprise layer.
Product overview
Orama is a platform-plus-modules architecture built around three primary surfaces — Orama Canvas (the user-facing runtime), Orama Cache (the search engine and knowledge graph powered by OramaCore), and Orama Connect (the connector factory with native integrations). On top of this core engine, the Amaro enterprise layer adds six modules: Data Sync, Chat, Report, Share, Tasks & Alerts, and Refinement. The open-source foundation includes OramaSearch/OramaJS (JavaScript) and OramaCore/OramaRS (Rust). Orama is MCP-native, serving as the infrastructure layer between AI agents and enterprise data sources, delivering semantic caching that cuts AI data costs by 70%+ while compounding intelligence with every query. Pricing tiers span Free, Individual ($20/month), and Enterprise ($40/seat + usage-based credits).
Differentiator
Problem solved
Functional benefit
Brands
- Amaro: Enterprise data layer built on Orama's open-source indexing cache, adding governance, permissioning, collaboration, and autonomous connector generation.
- Orama Canvas
- Orama Core
- Orama Connect
- Orama Chat
Products and services
- Orama Enterprise Intelligence Layer An enterprise data intelligence platform that sits between AI agents and 100+ enterprise data sources, building an intelligent cache of data shaped by user questions and delivering consistent, precise answers across connected systems. Cuts AI data costs by 70%+ through semantic caching that makes subsequent queries faster and cheaper. Targets mid-market to large enterprises processing 1B+ tokens monthly.
- Amaro Enterprise Layer The enterprise layer that makes Orama enterprise-ready by adding governance, permissioning, collaboration, and autonomous connector generation. Layers six capabilities on top of the core cache: Data Sync, Chat, Report, Share, Tasks & Alerts, and Refinement.
- OramaCore (OramaRS) Open-Source Database An open-source Rust-based database designed for AI workloads, featuring multiple LLMs and a JavaScript engine within the same GPU-powered process. Powers 5M+ monthly queries and is available under AGPLv3 license.
- OramaSearch (OramaJS) Open-Source Search Engine An in-memory, typo-tolerant JavaScript search engine enabling fast full-text and vector search for real-time applications. Powers in-app search across Node.js, Fastify, Docusaurus, Astro, and SvelteKit ecosystems with 10k+ GitHub stars and 1M+ monthly downloads.
Quantifiable outcome
- Reduces AI data costs by 70%+ vs direct LLM API usage
- +6 more outcomes
Companies that use Orama
Customer profileSegments7 records
Ideal customer profiles2 records
Orama technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability8 records
Feature9 records
Orama partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core.
- SalesforcecoreNative connector integration with Salesforce CRM. Permissions inherit from source, field-level access controls flow automatically. Supports real-time data sync.
- SnowflakecoreNative connector integration with Snowflake data warehouse. Enables federated queries across Snowflake data alongside other enterprise data sources.
- SlackcoreNative connector integration with Slack. Supports conversational calls into Orama Cache. Delivers answers wherever teams already work including Slack.
- JiracoreNative connector integration with Jira for project tracking and issue data access within Orama's federated data layer.
- ZendeskcoreNative connector integration with Zendesk for customer support ticket data, enabling unified customer context across support and other enterprise systems.
- HubSpotcoreNative connector integration with HubSpot CRM for customer and sales data access.
- NotioncoreNative connector integration with Notion for documentation and knowledge base access.
- PostgreSQLcoreNative connector support for PostgreSQL databases as part of the connector library.
- 100+ MCP Servers and Data SourcescoreOrama Connect supports 100+ MCP servers and data sources through the same MCP-native interface. Connector agent builds and maintains connectors on demand for sources not in the pre-built library.
- Anthropic (Claude)coreOrama is a native MCP server compatible with Claude and other MCP-compatible agents including GPT-4, Gemini, Cursor, and custom tooling.
- ChatGPTcoreOrama delivers answers through ChatGPT as one of the surfaces where teams can access unified enterprise data.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Orama competitors and assessment
Company assessmentDirect peers
- Pinecone: Managed vector database purpose-built for production AI applications, including RAG pipelines. Direct competitor to Orama's vector/hybrid retrieval layer with a similar enterprise AI infrastructure value proposition.
- Weaviate: Open-source vector database with hybrid search (BM25 + vector) capabilities and an enterprise cloud offering. Closely comparable to OramaCore/Orama's hybrid retrieval approach and open-source-to-enterprise business model.
- Qdrant: Rust-based open-source vector search engine with managed cloud offering. Highly comparable technical foundation (Rust core, similar performance focus) and go-to-market as Orama's open-source search.
- Glean: Enterprise AI search and knowledge management platform that connects to 100+ enterprise data sources and serves answers to teams. Direct competitor in the federated enterprise AI search/answer layer that Orama targets.
- Hebbia: Enterprise AI platform that ingests and reasons over large document and data corpora for knowledge work. Comparable in targeting AI-augmented knowledge workflows across enterprise systems, though with a stronger document-analysis focus.
- Meilisearch: Open-source search engine with strong developer adoption and a managed cloud offering. Comparable to OramaJS/OramaCore as an open-source developer-first search engine targeting production applications.
- Typesense: Open-source typo-tolerant search engine with a managed cloud service. Closely comparable to OramaSearch as a developer-first, in-app search product with similar open-source roots.
Broad incumbents
- Elastic: Broad enterprise search and observability platform with vector search and ESQL capabilities. Overlaps with Orama's hybrid retrieval and AI search use cases but serves a much wider portfolio of search/observability/security workloads.
- Algolia: Search-as-a-service platform with AI-powered and vector retrieval capabilities. Comparable end-user search and retrieval experience to Orama, though historically more developer/website-focused than enterprise AI infrastructure.
- Vespa: Yahoo-developed open-source platform for large-scale search, recommendation, and vector/RAG applications. Comparable hybrid retrieval capabilities and enterprise-deployment posture, though more established and broadly positioned.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights6 records
Customer concentration
Orama social profiles
Digital presenceOrama compliance and trust
Trust signalCompliance3 records
Orama financial estimates
Financial estimateRevenue estimate
Valuation estimate
Orama leadership team
Management profileNumber of profiles
Profiles1 record
Orama funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Orama 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 Orama
What does Orama do?
Orama is an enterprise intelligence layer that sits between AI agents and existing data sources such as Salesforce, Snowflake, Slack, Jira, and Zendesk. It builds an intelligent cache shaped by the questions being asked, combining text, vector, and graph-based retrieval through attention-based indexing to deliver consistent answers at 47ms median latency. The platform is MCP-native, supports 100+ connectors, and adds governance, permissioning, collaboration, and autonomous connector generation via the Amaro enterprise layer.
Is Orama a public or private company?
Orama is a private company. It is classified as venture growth investor backed and is currently operating.
When was Orama founded?
Orama was founded in 2023. It employs 11 to 50 people.
Where is Orama based?
Orama is headquartered in San Francisco, United States, in the North America region.
How does Orama make money?
Four revenue lines are on record. Subscription - Free Tier is the primary driver. The others are subscription - Individual Tier, enterprise Tier and usage-based Token Credits.
Who are Orama's main competitors?
Direct peers on record are Pinecone, Weaviate, Qdrant, Glean, Hebbia, Meilisearch and Typesense. Broad incumbents are Elastic, Algolia and Vespa.
Does Orama have an API?
Yes. Orama is MCP-native (Model Context Protocol). Every Orama instance is a native MCP server providing index, search, answer, and refresh skills. Any MCP-compatible agent (Claude, GPT-4, Gemini, Cursor) can use Orama's capabilities out of the box. Open-source JavaScript SDK available via npm (OramaJS/OramaSearch). The production Rust engine (OramaRS) is available under AGPLv3 license. Developer documentation is at oramasearch.com.
What industry is Orama in?
Orama's product category is Enterprise AI Search and RAG Platform. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of BPAEAHAG, Generative AI & LLM Solutions Services (RAG, Agents, Copilots). Its NAICS code is 54151 and its SIC code is 7372.