Orama

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

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

• Hybrid search engine
• Retrieval augmented generation
• Enterprise data layer
• AI agent infrastructure
• Semantic caching platform

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B and B2C

Offering type

Software

Cost components

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

Revenue model

1. 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.
2. 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.
3. 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.
4. 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

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core 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

Segments7 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration12 records

AI capability8 records

Feature9 records

Partnerships

Eleven partnerships are on record, tiered core.

• SalesforcecoreTechnology or IntegrationNative connector integration with Salesforce CRM. Permissions inherit from source, field-level access controls flow automatically. Supports real-time data sync.
• SnowflakecoreTechnology or IntegrationNative connector integration with Snowflake data warehouse. Enables federated queries across Snowflake data alongside other enterprise data sources.
• SlackcoreTechnology or IntegrationNative connector integration with Slack. Supports conversational calls into Orama Cache. Delivers answers wherever teams already work including Slack.
• JiracoreTechnology or IntegrationNative connector integration with Jira for project tracking and issue data access within Orama's federated data layer.
• ZendeskcoreTechnology or IntegrationNative connector integration with Zendesk for customer support ticket data, enabling unified customer context across support and other enterprise systems.
• HubSpotcoreTechnology or IntegrationNative connector integration with HubSpot CRM for customer and sales data access.
• NotioncoreTechnology or IntegrationNative connector integration with Notion for documentation and knowledge base access.
• PostgreSQLcoreTechnology or IntegrationNative connector support for PostgreSQL databases as part of the connector library.
• 100+ MCP Servers and Data SourcescoreTechnology or IntegrationOrama 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)coreTechnology or IntegrationOrama is a native MCP server compatible with Claude and other MCP-compatible agents including GPT-4, Gemini, Cursor, and custom tooling.
• ChatGPTcoreTechnology or IntegrationOrama 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

Direct 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

• GitHubgithub.com/oramasearch
• Xx.com/askorama

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors2 records

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 Orama