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Best AI Analytics Tools

89 tools compared · 2026

Notebooks, text-to-SQL, predictive layers, and unstructured analytics — all racing the death of the dashboard.

89 ai analytics startups tracked, with the largest concentration in US. Total tracked funding: $9.7B.

Tracked
89
Total Raised
$9.7B
Countries
17
Active Deals
0

Editor's picks

6

Top by score

View all 89 →

Funding by year — AI Analytics

2018 → 2026
$813M
’18
$121M
’19
$264.2M
’20
$1.0B
’21
$913M
’22
$364.6M
’23
$276.1M
’24
$1.1B
’25
$937.8M
’26

Market overview

The dashboard is dying slowly. Snowflake Cortex and Databricks Genie shipped native text-to-SQL and natural-language semantic layers in 2025; the analyst seat that previously opened Tableau or Looker now opens a notebook with a chat input. The 19 companies in this category — $1.48B in cumulative disclosed capital — split between the ones building that new surface (Hex, Hebbia, Pecan AI) and the ones absorbing AI into existing BI (Domo, Anaplan). The moats live in workflows the warehouse cannot own.

The dashboard era is ending

  • Hex ($68M Series B). Collaborative SQL-plus-Python notebook with aggressive natural-language query and chart generation. The wedge is multiplayer analyst workflows that warehouse-native chatbots cannot replicate — Snowflake Cortex and Databricks Genie are features, Hex is a workspace.
  • Hebbia ($161M Series B, July 2024). Retrieval-grade analytics over unstructured private corpora — investment memos, legal review, regulatory filings. Warehouses index structured tables; Hebbia indexes the documents around them.
  • Pecan AI (Israel). Generates SQL-based predictive models directly inside the warehouse, removing the data-export step that killed earlier predictive vendors. Predictive analytics goes warehouse-resident or it dies.
  • Domo ($690M cumulative). The public-market BI veteran bolting generative features onto an established planning and dashboard surface. Anaplan plays the same incumbent role on the planning side.
  • Kensho ($550M cumulative, acquired by S&P Global). Vertical-finance specialization — jurisdictional or vertical depth as the alternative to horizontal BI.
  • Presight AI (Abu Dhabi). Sovereign-analytics archetype, extending government-grade analytics from the UAE the way HUMAIN extends sovereign-AI infrastructure from Saudi Arabia.

Geographically the category is US-anchored — 10 of 12 disclosed HQs — with Israel (Pecan) and the UAE (Presight) the non-US footholds. Capital is bimodal: legacy raises (Domo, Kensho, Anaplan-scale platforms) sit alongside capital-efficient newcomers like Hex and Schematic ($6.5M seed in April 2026) riding Snowflake and Databricks distribution.

What gets squeezed in 2026

The make-or-buy moment is here. Cortex and Genie have absorbed the easy text-to-SQL use cases. Standalone BI assistants now defend a higher-value workflow — collaboration (Hex), unstructured retrieval (Hebbia), warehouse-resident prediction (Pecan), or vertical depth (Kensho-pattern). Generic chatbot-on-top-of-warehouse plays get crushed between native warehouse features and deeper-workflow specialists.

Key trends 2026

  • Warehouse-native gravity is the dominant force. Snowflake Cortex and Databricks Genie absorb the easier text-to-SQL use cases, forcing standalone BI assistants to defend a higher-value workflow.
  • Notebook collaboration as the moat. Hex's $68M Series B bet — multiplayer SQL-plus-Python with generative chart workflows — pulls analyst seats away from Looker and Tableau where the team is data-fluent.
  • Predictive analytics goes warehouse-resident. Pecan AI pushes model training inside the warehouse, eliminating the data-export step that killed earlier predictive vendors.
  • Unstructured analytics is the next surface. Hebbia's $161M is targeting the retrieval workflow over private corpora that no warehouse currently owns.
  • Sovereign and vertical specialization. Presight AI in Abu Dhabi and finance-specialized Kensho show that jurisdictional or vertical depth is a viable alternative to horizontal BI.

Benchmarks vs global

Companies tracked
19
BI assistants, text-to-SQL, predictive, observability
Cumulative disclosed funding
$1.48B
capital-efficient, riding Snowflake and Databricks
Top single raiser
Domo $690M
public-market BI veteran adding generative features
US headquarter share
83%
10 of 12; Israel (Pecan) and UAE (Presight) the only non-US

Top countries

By startup count

Stage breakdown

Latest round type
  • Seed 30
  • Series A 16
  • Series B 11
  • Series C 9
  • Series F 3
  • IPO 3
  • Series D 2
  • Series G 1

Top investors backing AI Analytics

See all →

FAQ

Frequently asked

What is AI Analytics versus a regular BI tool with a chatbot?
AI Analytics covers products where the primary surface is a query, dashboard, or predictive insight delivered with material AI assistance. A traditional BI tool that bolts on a thin chatbot does not qualify. Hex's notebook, Hebbia's retrieval workspace, and Pecan's warehouse-resident predictive models do — the AI is the workflow, not a sidebar.
How are these tools different from Snowflake Cortex or Databricks Genie?
Cortex and Genie are warehouse-native features that ship text-to-SQL and semantic-layer copilots directly inside the data platform. The independents in this category bet on workflows the warehouses do not own — multiplayer collaboration (Hex), unstructured retrieval (Hebbia), or vertical depth (Kensho).
Is text-to-SQL really a defensible category in 2026?
Pure text-to-SQL is now a feature, not a product. Defensible companies wrap it in a notebook (Hex), a workflow (Pecan), an unstructured corpus (Hebbia), or a vertical decision surface (Kensho). The standalone text-to-SQL pure-plays have been crushed between Cortex, Genie, and the deeper-workflow specialists.
Where does data observability fit?
Data observability tools that detect freshness, schema, and quality regressions on warehouse tables fall inside this category when ML is core to the detection. Pure rules-based monitoring sits in adjacent infrastructure tooling. The line matters because ML-driven anomaly detection is the part Snowflake and Databricks have not yet absorbed natively.
Why is the cumulative funding smaller than other AI categories?
$1.48B reflects disclosed cumulative across 19 tracked vendors. Many AI Analytics startups are capital-efficient and ride Snowflake or Databricks distribution rather than competing on raw GPU spend. Several entries also have undisclosed totals, so the headline figure understates true category capital.

Recent rounds in AI Analytics

All rounds →
Date Startup Round Amount
May 2026 Sigma Computing Series E $80M
May 2026 Nectar Series A $30M
Apr 2026 Schematic Seed $6.5M
Apr 2026 Omni Series C $120M
Apr 2026 PeakMetrics Series A $6M
Mar 2026 DiligenceSquared Seed $5M
Mar 2026 Instrumental Series D Undisclosed
Feb 2026 Optiml Seed $8.8M

All AI Analytics startups

Page 1

Airwallex

PRIVATE
Singapore est. 2015

Global payments and financial infrastructure for modern businesses

Raised
$1.5B
Stage
S-G
80

Contentsquare

PRIVATE
France est. 2012

The all-in-one experience intelligence platform

Raised
$1.4B
Stage
SERIES_F
80

Jungle Scout

PRIVATE
United States est. 2015

All-in-one Amazon product research and seller intelligence platform

Raised
$110M
Stage
PRIVATE EQUITY
75

Aily Labs

Germany est. 2020

Enterprise AI decision intelligence for the Fortune 500

Raised
$100M
Stage
S-B
75

Listen Labs

United States est. 2023

AI-moderated customer research interviews at scale

Raised
$100M
Stage
S-B
73

Instrumental

United States est. 2015

Manufacturing AI and data platform for electronics quality

Raised
$81.7M
Stage
S-D
72

DataHawk

ACQUIRED
France est. 2017

Unified ecommerce and marketplace analytics for Amazon and Walmart

Raised
$8.4M
Stage
Seed
68

Fundamental

AI research company with a new approach to big data analysis

Raised
$255M
Stage
S-A
68

Human Behavior

United States est. 2025

AI agents that watch session replays to explain user behavior

Raised
$5M
Stage
Seed
67

Findem

US est. 2019

Expert-labeled talent dataset for AI-powered hiring

Raised
$105M
Stage
S-C
66

Quantexa

GB est. 2016

Decision Intelligence platform for fraud and AML

Raised
$550M
Stage
S-F
65

QuickBooks

PUBLIC
United States est. 1992

Accounting, bookkeeping, and finance software for small businesses

Stage
IPO
65

Artificial Societies

United Kingdom est. 2024

Simulate human audiences with networks of AI personas

Raised
$5.3M
Stage
Seed
65

Peregrine Technologies

US est. 2020

Decision-support and data integration platform for public safety agencies

Raised
$440M
Stage
S-C
64

Julius AI

AI data analyst that answers questions from your spreadsheets and data

Raised
$10M
Stage
Seed
63

Knit

AI-native consumer research platform combining quant and qual insights

Raised
$16.1M
Stage
S-A
63

Omni

US est. 2022

The AI-powered BI and semantic layer for the modern data stack

Raised
$337M
Stage
S-C
62

Augury

US est. 2012

AI-driven machine health and production health for industrial reliability

Raised
$369M
Stage
S-F
61

Prophecy

United States

Agentic AI platform that turns plain-English goals into editable visual data pipelines

Stage
S-B
61

Bruin

United Kingdom est. 2023

End-to-end data platform combining ingestion, SQL and Python pipelines and an AI data analyst

Stage
Pre-S
61

Sylvera

GB est. 2020

Carbon credit ratings and market intelligence powered by AI and geospatial data

Raised
$96M
Stage
S-B
60

Peec AI

DE est. 2024

AI search analytics to monitor brand visibility across ChatGPT, Perplexity and Gemini

Raised
$29M
Stage
S-A
58

Alembic

US est. 2022

Causal AI that ties marketing activity to real revenue impact

Raised
$165M
Stage
S-B
58

Hex

US est. 2019

The collaborative data workspace with AI.

Raised
$70M
Stage
S-C
57