AI Agents Marketplace

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.

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.

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.

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.

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.

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.

What is Profluent? Profluent is an AI-driven biotech company that designs novel proteins using artificial intelligence, with a mission of authoring new biology for medicine and agriculture. It describes OpenCRISPR as the world's first AI-designed gene editor. It is a research and partnership company rather than a self-serve software product. Key capabilities of Profluent Protein language models: AI models trained on protein sequences to generate new proteins OpenCRISPR: AI-designed gene editors AI-designed recombinases: proteins for genetic medicine, part of the Eli Lilly partnership Protein design: generates new protein sequences for therapeutic and other uses Open model releases: publishes some models to the research community Drug discovery partnerships: collaborations to design medicines with pharma partners How Profluent works Profluent trains large AI models on biological sequence data and uses them to generate protein candidates with desired functions, then validates promising designs in the lab. Outputs such as gene editors are tested experimentally by scientists before any therapeutic use, so human researchers and wet-lab validation remain central. Who uses Profluent? Pharmaceutical and biotech partners and research groups work with Profluent. The vendor names a strategic partnership with Eli Lilly on AI-designed recombinases worth up to $2.25 billion, and a partnership with BioMarin to design new medicines. Profluent pricing Profluent does not publish prices or public access terms on its homepage. Engagements are negotiated as partnerships. Profluent alternatives Profluent is compared with EvolutionaryScale and Chai Discovery, which also build protein foundation models. PyTorch and fast.ai are general machine learning frameworks, not protein design services.

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.

What is Vara? Vara is a mammography screening AI agent offering an AI platform for mammography screening that triages normal exams and highlights suspicious findings. Founded in 2018 and based in Berlin, Germany, Vara helps breast screening programs automate AI mammography screening work and get results faster. Key capabilities of Vara Normal exam triage Suspicious finding detection Screening workflow Quality analytics Regulatory-cleared algorithms Worklist prioritization How Vara works Vara takes image as input and produces insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PACS, Epic, DICOM and HL7 FHIR, so the agent works inside existing workflows. Who uses Vara? Vara is built for breast screening programs. It suits teams that want normal exam triage and suspicious finding detection without adding headcount, while keeping people in control of review and final decisions. Vara vs Kheiron Medical Vara is often compared with Kheiron Medical. Vara stands out for normal exam triage and screening workflow. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is DeepJudge? DeepJudge is a legal knowledge search AI agent offering AI-powered knowledge search that lets lawyers find and reuse their firm internal work product. Founded in 2021 and based in Zurich, Switzerland, DeepJudge helps law firms and legal departments automate legal knowledge search work and get results faster. Key capabilities of DeepJudge Enterprise legal search Precedent retrieval AI answers over firm documents DMS integrations Matter context Attorney review workflows How DeepJudge works DeepJudge takes documents and text as input and produces text and search results. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Clio, Microsoft Word, Outlook and iManage, so the agent works inside existing workflows. Who uses DeepJudge? DeepJudge is built for law firms and legal departments. It suits teams that want enterprise legal search and precedent retrieval without adding headcount, while keeping people in control of review and final decisions. DeepJudge vs Harvey DeepJudge is often compared with Harvey. DeepJudge stands out for enterprise legal search and AI answers over firm documents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.