Company intelligence for AI teams

Know what your AI market will do next.

AIIStack turns fragmented public signals into source-backed company intelligence: competitor moves, AI visibility, market momentum, and the next action worth taking.

Open intelligence workspace Explore company graph
Evidence on every material changeScores with methodologyNo paid ranking

Track the market, not tabs

Watch competitors, launches, pricing, product changes, and GitHub activity from one evidence-backed timeline.

Measure AI answer visibility

See whether your company is recommended or cited across a documented panel of buyer-intent prompts.

Act before the next meeting

Get only material changes, with a source, confidence score, and a weekly report your team can use.

Source-backed activity

What changed across AI companies

Every event has a source, a capture date, and a confidence level. The profile is the public graph; your workspace turns it into a decision system.

Company graph

Companies with momentum worth understanding

Browse intelligence profiles
Weights & Biases

wandb.ai

AI and ML development platform for experiment tracking, evaluation, and model operations.

AI & MLOps
Popularity score
60.71/100
Score change
0
Open profile
ElevenLabs

elevenlabs.io

AI audio platform for text-to-speech, voice generation, and conversational agents.

Voice AI
Momentum score
66.43/100
Score change
0
Open profile
Together AI

together.ai

AI cloud platform for model inference, fine-tuning, and open-model development.

AI inference platforms
Innovation score
20.71/100
Score change
0
Open profileCompare

Market maps

Follow the categories that matter to you

Open all markets

Agent frameworks

2

Frameworks and platforms for building, orchestrating, and deploying AI agents and knowledge-grounded applications.

AI inference platforms

3

Cloud platforms that run, optimize, fine-tune, or serve AI models for developers and production applications.

AI & MLOps

1

Tools for training, evaluating, observing, and operating machine-learning and AI systems.

Foundation models

4

Companies building and serving general-purpose AI models through research, APIs, and enterprise platforms.

Model development platforms

1

Platforms for discovering, sharing, building, and operating machine-learning and AI models.

Vector databases

3

Data infrastructure for semantic retrieval, hybrid search, and production AI application memory.

Voice AI

1

AI platforms for speech synthesis, conversational voice agents, and audio generation.

Methodology & trust

Answers before the claims

AIIStack is designed to make the evidence boundary visible: what is sourced, what is scored, and what is still unknown.

Read the full methodology
Is AIIStack ranking paid or sponsored?

No. Companies cannot pay to change a public score, leaderboard position, market placement, or comparison result. Paid plans cover workspace capabilities, not editorial treatment or ranking.

What does “source-backed” mean on AIIStack?

Material company changes are tied to attributable evidence, a capture date, and a confidence level. When evidence is incomplete, AIIStack shows the gap instead of filling it with an unsupported claim.

How does AIIStack calculate company scores?

Scores normalize documented signals within a relevant cohort and use a versioned model. Each score is shown with confidence and coverage context; it is an intelligence indicator, not an absolute verdict on company quality.

What is AI visibility tracking?

AI visibility measures whether a company appears in answers to a documented panel of buyer-intent prompts. It describes a specific model panel and time period—not a company’s global rank across every AI answer engine.