Get a recommendation
Tell us your requirements and our advisors will help you compare and shortlist the best-fit options, free and unbiased.
A real human, fast
Someone on our team replies within one business day, no bots, no ticket queue.
Routed to the right team
Buying, selling, partnering, or investing, you reach the people who can actually help.
Independent & unbiased
No pushy sales. Just honest guidance grounded in the ecosystem.
Tailored to your context
Tell us what you need and we shape the next steps around it.
Who are you? Pick the option that fits best.
1,943 Listings in AI Agents Available
What is Voyage AI? Voyage AI provides embedding and reranking models that help applications search and retrieve information from unstructured data. It is owned by MongoDB and is aimed at teams building retrieval-augmented generation (RAG) systems. Key capabilities of Voyage AI Embedding models: Convert text into vectors for semantic search Rerankers: Re-rank retrieved results to improve relevance Long context: Context window up to 32K tokens Compact vectors: Vectors the vendor says are 3x to 8x shorter than competitors Domain models: Specialized models such as a legal embedding model Model-agnostic: Works with any vector database and LLM Flexible deployment: API, cloud marketplaces and custom on-premises How Voyage AI works You send text to the Voyage API and receive embedding vectors, which you store in any vector database. At query time you embed the question, retrieve candidates and optionally pass them through a reranker to sort by relevance before handing context to an LLM. There is no human review step in the loop. Who uses Voyage AI? Developers building RAG and search applications. The vendor cites Harvey, which reported a 25% drop in irrelevant retrieval and a threefold cut in vector database costs after adopting a legal embedding model. Voyage AI pricing Voyage AI uses consumption-based pricing through its own service and cloud marketplaces such as AWS. Per-token rates are not stated on the homepage, so check the vendor pricing page. Voyage AI alternatives Alternatives include Cohere for embeddings and rerank APIs, Mixedbread for open embedding and reranking models and Mindee for document data extraction.
Deployment
Compliance
What is Hour One? Hour One is a presenter video AI agent offering AI presenter videos made from text for training, marketing and communications. Founded in 2019 and based in Tel Aviv, Israel, Hour One helps L&D and marketing teams automate presenter video work and get results faster. Key capabilities of Hour One AI presenters Template-based video Multilingual voiceovers Team workspaces Multilingual voices Custom avatars How Hour One works Hour One takes text as input and produces video. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PowerPoint, YouTube, LMS platforms and Zapier, so the agent works inside existing workflows. Who uses Hour One? Hour One is built for L&D and marketing teams. It suits teams that want AI presenters and template-based video without adding headcount, while keeping people in control of review and final decisions. Hour One vs Synthesia Hour One is often compared with Synthesia. Hour One stands out for AI presenters and multilingual voiceovers. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Featherless? Featherless is a serverless inference platform that gives developers and enterprises API access to more than 40,000 open-source models from the Hugging Face catalog through a single OpenAI-compatible endpoint. Key capabilities of Featherless Large model catalog: 40,000-plus open-source models OpenAI-compatible API: Switch by changing the base URL and API key Flat-rate Chat plan: Unlimited tokens at a monthly price Developer plan: Per-token billing with up to 256K context and 100 concurrent units Hot-swapping: Switches between models in under 5 seconds per third-party description Business plan: Dedicated H100, MI325X, B200 or B300 GPUs with SLAs How Featherless works You call the API with a model name from the catalog and Featherless loads and serves it without you provisioning GPUs. Chat plan users connect frontends such as SillyTavern or RisuAI, while the Developer plan supports coding agents and production traffic. Who uses Featherless? The Chat plan targets interactive roleplay and conversation users, the Developer plan targets builders and agents, and the Business plan targets enterprises needing dedicated capacity and private fine-tuning. Featherless pricing Chat is $25 per month with unlimited tokens, a 32K context window and 4 concurrent units. Developer is $50 per month in credits with per-token billing, up to 256K context, 100 concurrent units and non-expiring credits. Business is custom with dedicated GPUs. Featherless alternatives Alternatives include Inferless and Cerebrium for serverless GPU deployment, SaladCloud for distributed GPU compute, and Lightning AI for development and deployment. Featherless is notable for its very large open-model catalog.
Deployment
Compliance
What is Quiq? Quiq is an enterprise platform for agentic AI that handles complex customer interactions across web, messaging and voice. Its product line spans AI Agents, AI Assistants, Voice AI Agents, AI Workflows, AI Analysts and a Digital Contact Center. Key capabilities of Quiq AI Agents: resolve customer questions across channels AI Assistants: coach human agents in real time Voice AI Agents: hold natural voice conversations at scale AI Workflows: extend AI into business processes AI Analysts: turn conversation data into insights AI Studio: build agents with enterprise guardrails How Quiq works Teams design agents in AI Studio with guardrails, and Verified Intelligence is used to control AI decisions. Agents answer across chat, messaging and phone, hand off to people in the Digital Contact Center workspace, and AI Analysts report on the conversation data. The vendor cites 99.999 percent uptime. Who uses Quiq? Customer experience teams in retail, hospitality, insurance and healthcare. Customers named include Panasonic, Roku, Terminix, Brinks Home and Lululemon. Quiq pricing Quiq does not display prices on its homepage. Pricing is provided through a demo request. Quiq alternatives Ada and Zendesk AI are customer service AI products, Brainfish builds AI knowledge support, and DeepConverse and Alhena AI target support automation. Quiq stresses enterprise guardrails and voice plus messaging.
Capabilities
Deployment
Compliance
What is Hypar? Hypar is a cloud space planning application for architecture and design teams. It converts a program and constraints into quantified 3D options in the browser, then hands the result off to Autodesk Revit. Key capabilities of Hypar Test fits: Draw floor plates, trace over images or import DXF, Revit or Rhino files. Layout generation: Creates open office areas, meeting rooms and lounges out of the box. Suggestions: Generates editable building masses, structural grids, columns and furniture layouts. Area tracking: Updates quantified area data as options change. Revit sync: Bidirectional Revit plugin with clean, joined walls for documentation. 3D options: Compare multiple design options in the browser. How Hypar works Teams define a spatial program, then Hypar produces layout options that can be edited by hand. Real-time area tracking shows how each option performs against the brief, and the chosen option exports to Revit through a plugin. It combines generative algorithms with natural language input. Who uses Hypar? Architects, interior designers and real estate teams that need fast test fits to win stakeholder buy-in before detailed design starts. Hypar pricing Hypar documentation lists paid seats at $100 per user per month, or $83 per user per month billed annually ($1,000 per user per year). A free plan needs no credit card, caps owned projects at three and is not for professional work. Hypar alternatives Veras by EvolveLAB renders design visuals from models, and LookX AI generates concept imagery. Swapp automates architectural drawings. Hypar differs by focusing on programmed space planning with Revit handoff.
Deployment
Compliance
What is Jacquard? Jacquard, formerly Phrasee, is an AI platform that generates and optimizes marketing content across email, SMS, push, in-app, paid social and web. It describes itself as an agentic creative intelligence layer. Key capabilities of Jacquard Performance agent: Identifies revenue-lifting opportunities Compliance agent: Validates regulatory requirements Brand agent: Enforces brand voice and guardrails Jacq orchestration: Coordinates the agents and delivers approvals through Slack, Claude, ChatGPT or Copilot Global model: Built on 80B+ marketing results gathered over 10 years Brand model: Learns from your campaign history and approvals Customer model: Personalizes messaging by individual attributes How Jacquard works Three trained models feed four agents. The global model draws on past marketing outcomes, the brand model learns from your approved campaigns, and the customer model personalizes by attributes. Jacq coordinates the performance, compliance and brand agents and routes approvals to chat tools, and the platform connects to marketing systems for delivery. Who uses Jacquard? Enterprise marketing teams. Customers named by the vendor include Tesco, Costco, Sephora, Best Buy, Nestle and United Airlines. It reports a 97 percent win rate against human-written controls. Jacquard pricing Jacquard does not publish pricing on its site, so cost is set per engagement. Jacquard alternatives Related options include Klaviyo for email and SMS automation, Knak for email building and rasa.io for personalized newsletters.
Deployment
Compliance
What is Simplifai? Simplifai is an agentic AI solution that automates insurance claims operations end to end, from intake through closure. It handles 28+ claim tasks across motor, property, travel, bodily injury, marine, pet and specialty lines. Key capabilities of Simplifai Claim intake: Captures, verifies and collects missing information. Damage assessment: Used in claim processing. Reserve calculation: Part of processing. Fraud and leakage detection: Flags suspicious claims. Payments and recoveries: Claim closure steps. Compliance checks: Audit-ready filing. Audit trails: Handlers can intervene at any point. How Simplifai works The agent works through intake, processing and closure and hands information to human handlers for review. Deployment runs in three stages, Discovery, Onboarding and Go Live, and takes 4 to 8 weeks. Who uses Simplifai? Insurers. Customers report freeing 30 to 50% of handler time, and Storebrand and Stillwater Insurance are named. Stillwater cut claims email handling time by 95%. Simplifai pricing Simplifai does not publish pricing and sells through scoped implementations. Simplifai alternatives Pibit.ai focuses on underwriting automation, Auditoria.AI automates finance operations, and Fiscal.ai is a financial data tool. Simplifai is built for claims.
Deployment
Compliance
What is Luminary Cloud? Luminary Cloud is a physics simulation AI agent offering a cloud simulation platform that combines GPU-native CFD with physics AI models for real-time engineering predictions. Luminary Cloud helps aerospace and automotive engineering teams automate physics simulation work and get results faster. Key capabilities of Luminary Cloud GPU CFD Physics AI models Design exploration Cloud meshing Fast physics predictions CAD generation How Luminary Cloud works Luminary Cloud takes 3D models as input and produces simulations and predictions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as SolidWorks, Onshape, Fusion 360 and Ansys, so the agent works inside existing workflows. Who uses Luminary Cloud? Luminary Cloud is built for aerospace and automotive engineering teams. It suits teams that want GPU CFD and physics AI models without adding headcount, while keeping people in control of review and final decisions. Luminary Cloud vs Ansys Luminary Cloud is often compared with Ansys. Luminary Cloud stands out for GPU CFD and design exploration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Nebius? Nebius is a full-stack AI cloud offering NVIDIA GPU instances, CPU instances, storage and managed services such as Kubernetes and MLflow, plus Token Factory for hosted model inference. Key capabilities of Nebius GPU instances: NVIDIA H100, H200 and B200 on demand Preemptible instances: spot pricing from $0.79 per hour for H100 and H200 CPU instances: AMD EPYC and Intel Ice Lake Managed services: Kubernetes and MLflow Storage: for datasets and checkpoints Commitment discounts: up to 35 percent off on-demand for reserved multi-month clusters How Nebius works You provision GPU or CPU instances by the hour, optionally use managed Kubernetes and MLflow, and reserve capacity for discounts on large clusters. Token Factory is priced on a separate page. Who uses Nebius? AI teams training and serving models who need GPU capacity. Nebius pricing On-demand GPU rates effective October 1, 2026: H100 $4.50 per hour, H200 $5.40 and B200 $8.50 (previously $3.85, $4.50 and $7.15). Preemptible instances start from $0.79 per hour. Nebius alternatives DeepInfra and fal are hosted inference providers, Lightning AI offers a development platform, Liquid AI builds its own models, and JAX is a numerical computing library rather than a cloud.
Deployment
Compliance
What is EvolutionaryScale? EvolutionaryScale develops AI models for biology, led by ESM3, a language model that reasons over protein sequence, structure and function at the same time. The organization is now part of Biohub. Key capabilities of EvolutionaryScale ESM3 multimodal reasoning: Reasons over sequence, structure and function simultaneously Protein generation: Generate novel proteins from mixed prompts ESM Cambrian: A parallel model family for protein representation learning Three API sizes: ESM3 small, medium and large through the API Open weights: ESM3-open is available on GitHub under the MIT license Biohub Platform: All models are accessible through the Biohub Platform How EvolutionaryScale works Researchers prompt ESM3 with any mix of sequence, structure and function information and the model completes the protein. The largest ESM3 has 98 billion parameters trained on 2.78 billion natural proteins and 771 billion unique tokens. As a demonstration, it designed esmGFP, a fluorescent protein far from natural ones. Who uses EvolutionaryScale? The models are used by protein scientists and drug discovery researchers working on enzymes, medicines and materials such as carbon-capture and plastic-degrading proteins. EvolutionaryScale pricing The ESM3-open model is free under the MIT license. Larger models are served through an API and the Biohub Platform, and the vendor does not list prices on its homepage. EvolutionaryScale alternatives Alternatives include Profluent for protein design models, Chai Discovery for structure and drug design models, and fast.ai tooling for general deep learning. EvolutionaryScale is known for the ESM family.
Deployment
What is Ibex Medical Analytics? Ibex Medical Analytics is an AI-powered diagnostics company that helps pathologists detect cancer and analyze tissue on digital slides. It offers Ibex Breast Suite, Ibex Gastric and Ibex Prostate. Key capabilities of Ibex Medical Analytics Cancer detection: Detects cancer and over a hundred other diagnostic features in multiple tissue types Gleason grading: Prostate grading support Nuclear grading: Grading assessment in breast pathology Perineural invasion: Detection of perineural invasion Tumor sizing: Measures tumor size Multi-tissue suites: Breast, gastric and prostate products How Ibex Medical Analytics works Digitized slides are analyzed by deep learning models trained on a dataset of over 10 million slides. The results appear for the pathologist, who confirms findings and makes the diagnosis. Who uses Ibex Medical Analytics? Pathology labs and health systems use Ibex, and the vendor calls itself the worldwide leader in live clinical rollouts. Ibex Medical Analytics pricing Ibex does not publish prices. Laboratories contact the vendor for a quote. Ibex Medical Analytics alternatives Alternatives include DeepHealth and Subtle Medical for imaging AI, and Cleerly for cardiac imaging. Ibex is specific to cancer pathology.
Deployment
Compliance
What is micro1? micro1 describes itself as the data research company accelerating AI in the real world. It supplies high-quality human data and evaluation systems for frontier model development. Key capabilities of micro1 Realm: RL environments and evaluation benchmarks that generate training data for agents and reasoning tasks Cortex: Contextual evaluation platform for monitoring and improving agents in production Robotics data: Expert-demonstrated data for embodied AI Expert marketplace: Qualified experts contribute data and insights Published benchmarks: Includes CortexRetrievalBench for financial research Domain evaluations: Legal reasoning and pathology report analysis How micro1 works micro1 connects expert talent with AI labs and enterprises that need specialized training data and evaluations. Experts work in realistic scenario simulations, and the resulting data and benchmarks feed model training and agent performance monitoring. Who uses micro1? Frontier AI labs and enterprises building agents. The site states that micro1 is a data infrastructure provider and not a traditional recruiting firm. micro1 pricing micro1 does not publish pricing on the page reviewed. Engagements are scoped with the vendor. micro1 alternatives Related options include Findem for talent data, Sense for recruiting automation and Skillate for AI hiring workflows.
Deployment
Compliance
