Infino

What Infino does

Infino AI Inc. is a privately held, early-stage enterprise software company building a search-optimized Apache Parquet format that embeds BM25 full-text indexes and IVF + RaBitQ compressed vector indexes inside valid Parquet files. The core Infino engine executes hybrid BM25 + ANN + SQL queries in a single pass over the same bytes on object storage (S3, GCS, Azure Blob), eliminating separate vector databases, search clusters, and ETL pipelines. A DataFusion-based query executor sits beneath the format, and a one-RTT cold path means the first query off cold storage is the steady-state query with no warm cluster required.

The product surface comprises the core engine, the Infino Enterprise stack (Fino data agent that compiles natural-language questions into deterministic execution plans, Notebooks, Dashboards, Federated Search, an Elasticsearch-compatible Query DSL layer, and fine-grained RBAC with audit logging), and developer-facing Benchmarks/Compare pages. Deployment options include customer VPC and air-gapped environments, with GDPR and CCPA compliance and a 99.9% uptime SLA.

The company sells through direct enterprise sales with consultative scoping calls and quote-based multi-year contracts; no public pricing tiers, self-serve onboarding, or channel partners are evident. Named production customers span US Federal Government, semiconductor EDA (Bazinga Labs), a major oil & gas operator, an MSSP (Turiance AI), and a top-tier Formula 1 team — five verticals demonstrating use cases from agent-driven document retrieval and source-to-pay governance to multi-tenant SOC monitoring and real-time telemetry correlation. The company is founder-controlled (Asif Makhani, Vinay Kakade, Ekechi Nwokah), operates with 1–10 employees, and has no disclosed institutional funding.

Name

Infino

Legal name

Infino AI Inc.

Website

https://infino.ai

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

1–10 employees

Short description

Infino AI builds a search-optimized Apache Parquet format that embeds BM25 and vector indexes for hybrid retrieval, and sells an enterprise agentic-search platform — including the Fino data agent, dashboards, and federated connectors — via quote-based subscriptions deployed in customer VPC or air-gapped environments.

Ownership category

akta.pro rank

Product category

Enterprise Hybrid Search & Agentic AI Data Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Search, Retrieval & Semantic Ranking (BM25/vector, hybrid) (HDAAADAB)

akta.pro secondary industries

Search / Index Databases (HDAEAAAK), Enterprise Search, Indexing & Content Discovery (HDAEAGAH), Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ)

Keywords

• Hybrid search engine
• Agentic AI platform
• Vector database infrastructure
• Object storage analytics
• Enterprise search platform

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Enterprise Platform Subscription: Commercial offering operationalizing the core engine for enterprise use with UI, RBAC, Fino data agent, connectors, and federated search. Deployment inside customer VPC or air-gapped environment. Includes professional services and support.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

Infino builds a search-optimized Apache Parquet format that embeds BM25 full-text indexes and vector (ANN) indexes directly inside Parquet files on object storage, enabling hybrid BM25 + vector + SQL retrieval against a single copy of data. The enterprise offering layers production agent infrastructure on top of this core engine, including the Fino data agent, fine-grained RBAC, federated search, Elasticsearch-compatible API, notebooks, dashboards, and connectors — deployed inside customer VPC or air-gapped environments.

Product overview

Infino is a search-optimized Parquet format that embeds BM25 and vector indexes inside valid Apache Parquet files. The core product is the Infino Core Engine, which stores full-text indexes, vector embeddings, and SQL data in a single Parquet file on object storage. The Enterprise offering adds production agent infrastructure including Fino data agent (for natural language query compilation), Notebooks, Dashboards, Federated Search, and Elasticsearch compatibility API layer. The platform enables hybrid BM25 + ANN retrieval with SQL in a single query plan, supporting autonomous agents with fine-grained RBAC and full audit logging. Infino Compare and Benchmarks provide performance comparison tools against alternatives.

Differentiator

Problem solved

Functional benefit

Products and services

• Infino Core Engine Search-optimized Parquet format that embeds BM25 full-text indexes and vector indexes inside valid Apache Parquet files. One copy of data holds full-text search, vector embeddings, and SQL data, enabling hybrid retrieval against the same bytes without a separate search cluster or vector store. Sold to enterprise engineering teams deploying AI agents.
• Infino Enterprise (Production Agents) Production infrastructure for agent systems built on the Infino Core Engine. Includes UI (notebooks, dashboards, threaded chat), fine-grained RBAC, the Fino data agent, data connectors, federated search, and an Elasticsearch compatibility layer. Deployable inside customer VPC or air-gapped environment. Sold to enterprise platform and AI teams.
• Fino Data Agent Compiles queries against the Infino semantic layer. Returns inspectable plans and cited rows. Runs under the same RBAC as human users with no service-account back-channel, and converts natural-language questions into deterministic execution plans. Sold to enterprises deploying AI agents.
• Infino Federated Search Hybrid BM25 + ANN search across Parquet on object storage, warehouse tables, and operational stores. Results are merged, ranked, and returned with source lineage in a single query plan. Sold to enterprises with multi-source data estates.
• Infino APIs and Python SDK Governed agentic search APIs and Python SDK enabling organizations to deploy AI agents with full auditability, data lineage, and compliance controls. Includes deterministic execution plan compilation and inspection, plus field-level access control and audit logging. Sold to engineering teams integrating agents with Infino.

Named customers5 records

Segments6 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability8 records

Feature8 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Qdrant: Open-source vector search engine with hybrid BM25 + dense retrieval. Competes with Infino on the vector + full-text hybrid retrieval layer, particularly for production AI deployments.
• Pinecone: Managed vector database targeting enterprise AI and agentic applications. Competes with Infino's ANN vector search layer, particularly for RAG and agent retrieval use cases.
• Vespa: Yahoo-spun engine combining low-latency vector search, lexical search, and ML model scoring in a single query. Closely parallels Infino's hybrid BM25 + ANN + SQL positioning.
• Weaviate: Open-source vector database with hybrid search and modular integrations. Targets the same AI engineering teams Infino is going after for retrieval-augmented generation.
• OpenSearch (Amazon): Open-source fork of Elasticsearch with hybrid search features. Competes head-to-head with Infino on full-text + vector workloads, especially inside AWS environments where object storage integration is also native.
• Elastic (Elasticsearch): Incumbent search and analytics engine with BM25 full-text, vector search, and SQL capabilities. Infino's Query DSL compatibility API is explicitly positioned as a drop-in alternative to Elasticsearch and OpenSearch, making Elastic the closest direct competitor.

Broad incumbents

• Snowflake: Cloud data warehouse with growing AI/vector functions (Cortex). Listed as a drop-in warehouse for Infino, but also a potential substitute if Snowflake continues to absorb hybrid retrieval into its platform.
• Databricks: Lakehouse platform with native support for reading Parquet on object storage and emerging vector and AI functions. Already listed as a drop-in warehouse for Infino, and a competitive incumbent for enterprise data and AI workloads.

Emerging players

• Rockset: Real-time analytics database on object storage with built-in hybrid search. Comparable to Infino's federated search across operational stores, warehouse tables, and Parquet.
• ClickHouse: Open-source columnar OLAP database with full-text and vector capabilities. Competes with Infino's SQL + hybrid retrieval on analytical and observability workloads, particularly where scale and latency matter.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/infino-ai

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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 Infino