Bodo.ai

Bodo.ai

High-performance data processing platform for SQL

Overview

Bodo.ai provides a SaaS data processing platform for SQL and Python that speeds data engineering tasks, particularly ETL, by using a compiler-based engine and MPI parallelization. It enables users to develop, deploy, and monitor data workloads inside their own cloud VPCs, integrating with existing SQL and Python workflows. The platform claims to accelerate workloads by up to 20x and cut compute costs by up to 95%, making large-scale data processing more efficient. This makes Bodo.ai different from many competitors by offering significant performance and cost savings while operating within customers’ private cloud environments. The company’s goal is to help data-driven organizations manage vast data volumes more efficiently and cost-effectively through high-performance, cloud-native data processing.

About Bodo.ai

Simplify's Rating
Why Bodo.ai is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$14M

Headquarters

San Francisco, California

Founded

2019

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Simplify's Take

What believers are saying

  • Bodo 2026.4 introduced CPU-GPU hybrid execution on Linux and Python 3.14.
  • 2026.5 fixed multiple hangs and correctness bugs, improving enterprise reliability.
  • Open-source GitHub distribution on 2026-04-06 lowers adoption friction for engineers.

What critics are saying

  • LinkedIn lists 11-50 employees on 2026-07-16; enterprise scale remains thin.
  • Open-source Apache release on 2026-04-06 accelerates copycats and commoditizes core technology.
  • If Snowflake or pandas-native rivals match performance, Bodo's standalone platform loses urgency.

What makes Bodo.ai unique

  • 2026.5 adds GPU Iceberg, sort, and string operators to Bodo DataFrames.
  • 2026.6 BodoSQL uses a C++ backend for massive interactive queries.
  • Bodo partners with Snowflake, AMD, Saturn Cloud, and pandas in 2026.

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Funding

Total Funding

$14M

Meets

Industry Average

Funded Over

1 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Meet Average

Industry standards

$15M
$8.2M
Discord
$14M
Bodo.ai
$15M
Canva
$30M
Kalshi

Benefits

Health Insurance

401(k) Retirement Plan

Company Equity

Paid Parental Leave

Remote Work Options

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

0%

2 year growth

0%
PR Newswire
Jan 14th, 2025
Protegrity Names Silicon Valley Veteran Michael Howard As Ceo

Howard brings decades of leadership and experience across leading enterprises such as MariaDB, Veritas, and OracleSTAMFORD, Conn., Jan. 14, 2025 /PRNewswire-PRWeb/ -- Protegrity, a global leader in data security and privacy, today announced Michael Howard as Chief Executive Officer. Marked by a proven track record of driving innovation and transforming businesses into global powerhouses. Howard's experience across enterprise software, specializing in database management, cloud computing, security, machine learning and Generative AI will prove invaluable as he leads Protegrity into its next phase of growth. Most recently, Howard led groundbreaking software initiatives in Deep tech at RoadRunner Ventures Studio and in Text-to Analytics at Bodo.ai. Prior to this, Michael served as CEO at MariaDB, where he evolved MariaDB into a global brand, top 5 database, used by 75% of the Fortune 500, and reaching 60m+ users via Linux Distros

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