(Page 23) Database of Artificial Intelligence & Machine Learning Companies

Q: What is the purpose of this database?

Our Companies Database is a user-friendly database to search, filter, and discover companies around the world by their industry, size, funding stage, and more.

Q: How often is data of companies updated?

Data on companies in this database updates once every few weeks (on average once a month).

Q: I've discovered an outdated/inaccurate company profile here. How do I report it?

If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the <a href="contact" style="color:black; border-bottom:2px dotted #999999;">contact page here</a> — our team will have it rectified within the day.<br />In normal instances, jobs older than 30 days are automatically flagged as 'expired' by the system.

Filter and search through our comprehensive database of Artificial Intelligence & Machine Learning companies.

Artificial Intelligence & Machine Learning

Organization	Founded	Size
SnapEDA AI copilot for electronics design	-	11 - 50 employees
Vellum Prompt Engineering: Super powers for prompt engineers- Compare prompts, models, and even LLM providers side-by-side- Curate a library of test cases to evaluate prompts against- Quantitatively evaluate the output of your prompts using industry-standard ML metrics (Bleu, Meteor, Levenshtein distance, Semantic similarity)Deployments: Confidently iterate on models in production- Simple API interface that proxies requests to any model provider- Back-testing & version control- Observability of all your inputs and outputs; UI & API to submit explicit or implicit user feedbackDocuments: Use your proprietary data in LLM applications- Robust API endpoint to submit documents (“corpus of text”) for querying against- Configurable chunking and semantic search strategies- Ability to query against corpus of text at run timeContinuous Improvement: Continuously fine-tune to improve quality and lower cost- Passively accumulate training data to fine-tune your own proprietary models- Swap model providers or parameters under the hood – no code changes requiredWe’re a team of MIT engineers and McKinsey consultants who’ve been building apps on GPT-3 for 3 years since it first came out. We’ve built similar tools in MLOps for 4 years and have closely experienced the pain we’re solving for our customers today.We believe that AI is the greatest technological leap since the internet. Our mission is to help companies adopt AI by taking their prototypes to production. If you have an AI use-case in mind, please reach out!	2023	1 - 5 employees
AutoInfra Fast Apply + Retrieval for AI Coding Agents	2025	1 - 5 employees
Avoca AI-powered Sales Agent for Service-Based Industries	2022	6 - 10 employees
Tasker ai Building AI agent automation layer of the internet	2023	6 - 10 employees
Casetext We make the world's laws free and understandable.	2013	11 - 50 employees
CAPSULE Buy anything you find on social media	2022	1 - 5 employees
Scope AR Scope AR is the leading provider of User Guided Augmented Reality…	2011	11 - 50 employees
Starsky Robotics Driverless Trucks, for real.	-	11 - 50 employees
Argonaut Accelerate software development with WarpBuild's 10x faster CI infra.	2021	6 - 10 employees
Findly Co-pilot for Business Intelligence	2022	6 - 10 employees
Pachama Restoring nature to solve climate change.	2018	51 - 250 employees
Moonvalley Building the next generation AI creative studio	2023	51 - 250 employees
Unthread Agentic service management in Slack	2021	6 - 10 employees
Flockjay AI-driven learning, content, and coaching for sales teams	2018	11 - 50 employees
Reworkd AI The simplest way to extract web data at scale	2023	6 - 10 employees
Soteris We write ML software to more accurately select & price insurance risk.	2018	1 - 5 employees
Netomi Self-Driving Customer Care	2015	1 - 5 employees
Reality Defender Enterprise Deepfake Detection	2021	51 - 250 employees
SciPhi SciPhi is building R2R, the most advanced retrieval system.	2023	1 - 5 employees