Airweave

Name: Airweave
Brand: Airweave

AI Native

Context retrieval for AI agents across apps & databases

Est 2025|Valuation $7.1M|Raised $6.5M|4 Ref Customers

LinkedIn 3K|Web traffic 4K|FTEs 7|HQ San Francisco, California, US

01Competitive Landscape

Narrative analysis

Airweave vs Onyx - Onyx is positioned as an end-to-end enterprise search product with a user interface; Airweave is positioned as retrieval infrastructure intended for agent integrations. - Both vendors face permissioning challenges for some connectors; procurement should validate connector-specific ACL behavior. - For organizations prioritizing a user-facing enterprise search experience, Onyx may reduce integration work. For organizations embedding retrieval deeply into product or agent workflows, an infrastructure-first vendor may be more aligned. Airweave vs Glean - Glean is commonly chosen for employee search and knowledge discovery; Airweave targets developer and agent integration use cases and operates at a different layer. Airweave vs DIY (LlamaIndex/LangChain + vector DB) - Airweave operationalizes connectors, incremental sync, indexing, and a standardized retrieval surface. A DIY approach can be preferable for organizations with strict custom security requirements, unique ranking pipelines, or dedicated engineering resources to maintain custom connectors and transforms.

	Airweave	Onyx (onyx.app)	DIY on Vector DB (e.g., Qdrant)
Starting Price	Free tier; entry paid tier at a low monthly price; mid-tier at a mid-monthly price (self-serve)	Per-seat monthly pricing at a mid-range level	Cloud DB pricing varies; DB-only options available
Primary Fit	Developers building agents needing unified multi-source retrieval and API/MCP access	Teams needing an end-user search/chat UI with enterprise permission features	Teams wanting maximum control and building custom ingestion/retrieval pipelines
Key Strength	Open-source with a managed option; agent-oriented API/MCP; connectors, sync, and retrieval in a single layer	Packaged UI and enterprise search features with permissioning focus	Flexibility and control; no vendor lock-in for retrieval layer
Key Weakness	Permissioning model and governance features are still maturing; indexing-based model has governance tradeoffs; self-serve tiers are not purely consumption-based	Per-seat pricing can be expensive at scale; primarily a UI-focused product rather than developer-first retrieval infra	Requires significant engineering effort (connectors, sync, chunking, ACL mapping, evaluation)

01Competitive Landscape

Narrative analysis

Airweave vs Onyx

Onyx is positioned as an end-to-end enterprise search product with a user interface; Airweave is positioned as retrieval infrastructure intended for agent integrations.
Both vendors face permissioning challenges for some connectors; procurement should validate connector-specific ACL behavior.
For organizations prioritizing a user-facing enterprise search experience, Onyx may reduce integration work. For organizations embedding retrieval deeply into product or agent workflows, an infrastructure-first vendor may be more aligned.

Airweave vs Glean

Glean is commonly chosen for employee search and knowledge discovery; Airweave targets developer and agent integration use cases and operates at a different layer.

Airweave vs DIY (LlamaIndex/LangChain + vector DB)

Airweave operationalizes connectors, incremental sync, indexing, and a standardized retrieval surface. A DIY approach can be preferable for organizations with strict custom security requirements, unique ranking pipelines, or dedicated engineering resources to maintain custom connectors and transforms.

	Airweave	Onyx (onyx.app)	DIY on Vector DB (e.g., Qdrant)
Starting Price	Free tier; entry paid tier at a low monthly price; mid-tier at a mid-monthly price (self-serve)	Per-seat monthly pricing at a mid-range level	Cloud DB pricing varies; DB-only options available
Primary Fit	Developers building agents needing unified multi-source retrieval and API/MCP access	Teams needing an end-user search/chat UI with enterprise permission features	Teams wanting maximum control and building custom ingestion/retrieval pipelines
Key Strength	Open-source with a managed option; agent-oriented API/MCP; connectors, sync, and retrieval in a single layer	Packaged UI and enterprise search features with permissioning focus	Flexibility and control; no vendor lock-in for retrieval layer
Key Weakness	Permissioning model and governance features are still maturing; indexing-based model has governance tradeoffs; self-serve tiers are not purely consumption-based	Per-seat pricing can be expensive at scale; primarily a UI-focused product rather than developer-first retrieval infra	Requires significant engineering effort (connectors, sync, chunking, ACL mapping, evaluation)

Airweave

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map