CocoIndex
- Company typePrivate
- Founded2025
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
CocoIndex firmographics
Firmographics- Name
- CocoIndex
- Legal name
- CocoIndex Inc
- Website
- https://cocoindex.io
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
CocoIndex industry classification
Industry- Product category
- Data Indexing and ETL Framework
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Platform Engineering & Internal Developer Platforms (IDP) (BPAEAKAC)
Keywords
Where CocoIndex is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
CocoIndex business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure
Revenue model
- Open Source (Apache-2.0): The core CocoIndex framework is open-source under the Apache-2.0 license, freely available on GitHub and PyPI. Revenue is not generated directly from the open-source product.
- CocoIndex Enterprise: Enterprise tier targeting large organizations with petabyte-scale corpora, multi-repository monorepos, and hundreds of AI agents. Includes on-prem/VPC deployment, SSO/RBAC, dedicated support SLAs, custom integrations, branch overlay, and roadmap influence. Sold via direct enterprise sales motion through Calendly booking.
- CocoIndex Code Enterprise: Dedicated deployment of the CocoIndex Code daemon for enterprise teams, with VPC or on-prem managed sync against private repos, SSO, and team-scoped indexes. Provides cross-repo context and shared indexes across all coding agents in an organization.
- Professional Services & Custom Integrations: Enterprise offering includes first-party connectors for proprietary sources, sinks, and models, built collaboratively with customers. Also includes dedicated deployment support and onboarding.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open Source — free tier for individuals and small teams |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
CocoIndex product offering
Product offeringCore offering
CocoIndex is an open-source incremental data transformation framework with a high-performance Rust engine and Python SDK. It enables AI engineers and data engineers to declaratively define data pipelines that index codebases, documents, and other sources into vector databases, graph databases, and relational stores. The engine automatically computes deltas and only re-processes changed data or code, providing sub-second freshness with full data lineage tracking.
Product overview
CocoIndex is an incremental data framework and platform for AI agents, consisting of the core CocoIndex engine (Python SDK with Rust runtime), the CocoIndex Code sub-product for AST-based codebase indexing, CocoInsight for pipeline observability, and an Enterprise tier for large-scale deployments. The platform enables declarative data pipelines where transformations are defined in Python and the engine handles incremental processing, memoization, and target synchronization across vector databases (LanceDB, Qdrant, Pinecone), graph databases (Neo4j, Kuzu), and relational stores (Postgres, SQLite).
Differentiator
Problem solved
Functional benefit
Brands
- CocoIndex Code: AST-based coding context product that provides call graphs, hierarchies, symbol tables, and semantic indexes for codebases, kept fresh as the repo changes.
Products and services
- CocoIndex An incremental data framework for AI agents that maintains fresh context from codebases, meeting notes, PR reviews, and other data sources. Built on a Rust engine with Python SDK, it provides declarative state-driven sync where only changed data is reprocessed. Used by AI and data engineers building RAG pipelines, knowledge graphs, and semantic search applications.
- CocoIndex Code An AST-based coding context tool providing call graphs, hierarchies, symbol tables, and semantic indexes that stay fresh as code changes. Operates as a persistent daemon serving the shared index across teams. Targeted at teams building AI coding agents, code review agents, and security review agents that need live, accurate code context.
- CocoIndex Enterprise Enterprise offering for large-scale deployment supporting petabyte corpora, thousands of repositories, and hundreds of AI agents from one shared index. Includes on-prem/VPC deployment, SSO/RBAC, audit lineage, branch overlay for PR context, custom integrations, and dedicated support SLAs. Sold via direct enterprise sales motion.
- CocoInsight Data lineage and observability tool for troubleshooting and debugging CocoIndex pipelines. Provides real-time inspection and tracing of every indexing step with zero pipeline data retention — only anonymous aggregated statistical data is collected.
- CocoIndex CLI Command-line interface for managing CocoIndex pipelines with commands including cocoindex update, cocoindex drop, and cocoindex setup. Supports catch-up mode, reset with --reset flag, and full-reprocess with --full-reprocess flag.
Quantifiable outcome
- 10x reduction in LLM embedding calls compared to full recompute — only the delta is re-processed
- +4 more outcomes
Companies that use CocoIndex
Customer profileNamed customers1 record
Segments4 records
Ideal customer profiles4 records
CocoIndex technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration34 records
AI capability13 records
Feature10 records
CocoIndex partnerships and signals
Strategic signalScale indicators5 records
Recent moves6 records
Expansion highlights6 records
CocoIndex competitors and assessment
Company assessmentDirect peers
- Dagster: Python-native data orchestration platform with declarative asset-based pipelines and a similar developer-first ethos. Dagster's asset/materialization model is conceptually adjacent to CocoIndex's target-state declarative engine, and both target AI/ML engineering teams building production data flows.
- Airbyte: Open-source data integration platform with a large connector catalog and an OSS-first + commercial tier model that closely mirrors CocoIndex's PLG → enterprise motion. Both target developers building data pipelines, with Airbyte focused on connectors and CocoIndex on incremental indexing for AI workloads.
- dlt (data load tool): Python-first open-source library for loading data from APIs and databases into structured datasets, with an OSS core plus commercial Hub product. dlt overlaps with CocoIndex on Python-native, declarative data movement for AI and analytics use cases.
- LlamaIndex: Open-source data framework for LLM applications providing ingestion, indexing, and retrieval over custom data for RAG and agents. Directly competes with CocoIndex on the "fresh context for AI agents" thesis and shares Python-first, OSS-led developer go-to-market.
- Unstructured: Document ingestion and ETL platform specialized in extracting structured data from PDFs, images, and slides for AI pipelines. Closely comparable on multi-modal document indexing (overlapping with CocoIndex's ColPali/CLIP support) and on serving LLM/agent workloads.
Emerging players
- Prefect: Python-native workflow orchestration platform with a hybrid OSS/cloud model and a focus on resilient, observable data pipelines. Competes on the orchestration side of CocoIndex's stack but does not offer the same incremental index/lineage specialization for AI workloads.
- Mage.ai: Open-source data pipeline tool with a Python-first developer experience and integrated notebook-style UI for building transformations. Competes in the same developer-led ETL space but with a different deployment model and less focus on AI/RAG-specific incremental indexing.
- Estuary Flow: Real-time, change-data-capture-based data pipeline platform emphasizing low-latency streaming between operational stores and warehouses. Overlaps with CocoIndex on the real-time/incremental positioning and target-system integration breadth.
Broad incumbents
- Fivetran: Large, well-funded managed data integration platform with hundreds of pre-built connectors and a strong enterprise sales motion. Offers overlapping capabilities on the movement-and-sync axis but does not focus on incremental AI indexing or open-source extensibility.
- Apache Airflow: The dominant open-source workflow orchestrator used by thousands of data teams. Overlaps with CocoIndex on declarative pipeline definition but requires explicit DAG management rather than CocoIndex's state-driven, auto-delta model.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Customer concentration
CocoIndex social profiles
Digital presenceCocoIndex compliance and trust
Trust signalCompliance2 records
CocoIndex financial estimates
Financial estimateRevenue estimate
Valuation estimate
CocoIndex leadership team
Management profileNumber of profiles
CocoIndex funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
CocoIndex 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 CocoIndex
What does CocoIndex do?
CocoIndex is an open-source incremental data transformation framework with a high-performance Rust engine and Python SDK. It enables AI engineers and data engineers to declaratively define data pipelines that index codebases, documents, and other sources into vector databases, graph databases, and relational stores. The engine automatically computes deltas and only re-processes changed data or code, providing sub-second freshness with full data lineage tracking.
Is CocoIndex a public or private company?
CocoIndex is a private company. It is classified as venture growth investor backed and is currently operating.
When was CocoIndex founded?
CocoIndex was founded in 2025. It employs 1 to 10 people.
Where is CocoIndex based?
CocoIndex is headquartered in San Francisco, United States, in the North America region.
How does CocoIndex make money?
Four revenue lines are on record. Open Source (Apache-2.0) is the primary driver. The others are cocoIndex Enterprise, cocoIndex Code Enterprise and professional Services & Custom Integrations.
Who are CocoIndex's main competitors?
Direct peers on record are Dagster, Airbyte, dlt (data load tool), LlamaIndex and Unstructured. Emerging players are Prefect, Mage.ai and Estuary Flow. Broad incumbents are Fivetran and Apache Airflow.
Does CocoIndex have an API?
No public API is recorded for CocoIndex.
What industry is CocoIndex in?
CocoIndex's product category is Data Indexing and ETL Framework. Its primary akta.pro industry code is BPAEAKAC, Platform Engineering & Internal Developer Platforms (IDP). Its NAICS code is 541511 and its SIC code is 7370.