Open-source feature store that manages the machine-learning data teams use for both model training and real-time predictions.
Results for “machine-learning”
65 tools found
Managed feature store and AI lakehouse platform for building production machine-learning systems with millisecond-latency feature serving.
Identity and fraud decisioning platform that connects a single API to 270+ data providers, letting banks and fintechs orchestrate KYC/KYB, fraud and transaction monitoring across the whole customer lifecycle.
AI model purpose-built for tasks that need a consistent, reliable answer every time — reading documents, classifying content, transcribing speech.
Platform for labeling, organizing and quality-checking the images, video and sensor data used to train computer vision and robotics AI models.
Data annotation platform built for organizations running many labeling projects at once across images, video, text, PDF and geospatial data.
Data platform for labeling, curating and generating human feedback to train and fine-tune AI models, including reinforcement learning workflows.
Data annotation and evaluation platform that turns raw images, video, text and audio into labeled datasets for training and fine-tuning AI models.
A European, publicly-traded cloud built specifically for AI workloads — GPU clusters, training, inference — for companies that want serious AI compute without depending on a US hyperscaler.
A safety checker for AI systems that catches hallucinations, unsafe answers and factual mistakes before they reach a user, using its own purpose-built judge models instead of relying on a general-purpose LLM to grade itself.
A marketplace where anyone with a spare gaming or server GPU can rent it out, so AI developers get GPU compute at a fraction of the price big cloud providers charge — like Airbnb, but for graphics cards instead of spare rooms.
An AI inference API built specifically for speed — over 1,000 image, video, audio and language models served through one endpoint with sub-1-second latency and no cold starts.
Open-source on-device AI runtime that runs LLMs, vision models and speech models directly on phones, laptops and wearables — no cloud round-trip required.
AI platform that helps banks and credit unions decide who to lend money to, aiming for faster, more accurate approvals without discriminating against protected groups.
An AI platform that conducts adaptive voice and video job interviews at scale and scores candidates automatically.
An open-source database built specifically to store and search the huge piles of images, text and embeddings that AI systems train on and search through.
Arkor lets your AI coding assistant write the training code for a custom AI model, then handles the expensive GPU work behind the scenes — so fine-tuning a model no longer requires being a machine-learning engineer.
BaseRT runs AI language models directly on your Mac's own chip instead of a data center — once it's running, there's no per-message bill because there's no server in the loop at all.
An AI dispatcher for trucking companies — it looks at every driver, load and rule at once and works out the best assignment plan, instead of a human juggling spreadsheets and gut instinct.
A service that trains a small, specialized AI model tailored to one specific task instead of using a giant general-purpose model for everything, at a fraction of the usual cost.