AI Agents Marketplace

What is Nabla? Nabla is a clinical AI platform for health organizations. Its three products are an ambient AI scribe, clinical dictation and coding suggestions. Key capabilities of Nabla Ambient AI: Generates clinical notes from patient and clinician conversations. Dictation: Clinical-grade speech recognition integrated into Epic and other EHRs. Coding: E/M and ICD-10 coding suggestions aligned with AMA guidelines. EHR integration: Connects to Epic, athenahealth, Oracle Health, NextGen, Arya EHR and Greenway Health. Security certifications: HIPAA, SOC 2 Type 2, ISO 27001 and GDPR. How Nabla works During a visit the clinician records the conversation, and Nabla's ambient AI drafts a clinical note for the clinician to review and send to the EHR. Dictation lets clinicians speak directly into the chart, and the coding module suggests billing codes. The clinician stays responsible for the final note. Who uses Nabla? Nabla is used by health systems and clinics, with more than 130 health organizations, 85,000 clinicians and 20 million annual patient encounters reported by the vendor. Physicians and advanced practice providers are the main users. Nabla pricing Nabla does not publish pricing and directs organizations to contact sales. Cost depends on clinician count and the modules chosen. Nabla alternatives Alternatives include Abridge, which focuses on ambient documentation for large health systems, Suki, which offers a voice assistant for clinicians, and Microsoft Dragon Copilot, which combines dictation and ambient capture.

What is Ambience Healthcare? Ambience Healthcare is a clinical AI platform AI agent offering an AI platform for ambient documentation, coding and clinical workflows across specialties. Founded in 2020 and based in San Francisco, California, USA, Ambience Healthcare helps health systems and specialists automate clinical AI platform work and get results faster. Key capabilities of Ambience Healthcare Ambient scribe Coding-aware documentation Referral letters Specialty templates EHR integration Clinician review workflows How Ambience Healthcare works Ambience Healthcare takes audio and EHR data as input and produces text and codes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Epic, Oracle Health (Cerner), athenahealth and eClinicalWorks, so the agent works inside existing workflows. Who uses Ambience Healthcare? Ambience Healthcare is built for health systems and specialists. It suits teams that want ambient scribe and coding-aware documentation without adding headcount, while keeping people in control of review and final decisions. Ambience Healthcare vs Abridge Ambience Healthcare is often compared with Abridge. Ambience Healthcare stands out for ambient scribe and referral letters. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Meilisearch? Meilisearch is an AI search engine AI agent offering an open-source search engine with hybrid semantic and full-text search for apps and websites. Founded in 2018 and based in Paris, France, Meilisearch helps developers and product teams automate AI search engine work and get results faster. Key capabilities of Meilisearch Hybrid search Typo tolerance Vector search Instant search APIs Hybrid semantic search Real-time recommendations How Meilisearch works Meilisearch takes text as input and produces 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 Shopify, REST APIs, JavaScript and Python, so the agent works inside existing workflows. Who uses Meilisearch? Meilisearch is built for developers and product teams. It suits teams that want hybrid search and typo tolerance without adding headcount, while keeping people in control of review and final decisions. Meilisearch vs Algolia Meilisearch is often compared with Algolia. Meilisearch stands out for hybrid search and vector search. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Zappyhire? Zappyhire is a recruitment automation AI agent offering an AI recruitment platform that automates sourcing, screening and candidate engagement. Founded in 2017 and based in Kochi, India, Zappyhire helps enterprises in India and the Middle East automate recruitment automation work and get results faster. Key capabilities of Zappyhire Resume screening Chatbot engagement Assessment automation Hiring analytics ATS integration Bias monitoring How Zappyhire works Zappyhire takes resumes and text as input and produces insights and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Greenhouse, Lever, Workday and LinkedIn, so the agent works inside existing workflows. Who uses Zappyhire? Zappyhire is built for enterprises in India and the Middle East. It suits teams that want resume screening and chatbot engagement without adding headcount, while keeping people in control of review and final decisions. Zappyhire vs Skillate Zappyhire is often compared with Skillate. Zappyhire stands out for resume screening and assessment automation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Domino Data Lab? Domino Data Lab is an enterprise MLOps AI agent offering an enterprise AI platform for data science teams to build, deploy and govern models. Founded in 2013 and based in San Francisco, California, USA, Domino Data Lab helps regulated enterprise data science teams automate enterprise MLOps work and get results faster. Key capabilities of Domino Data Lab Reproducible workspaces Model deployment Governance Hybrid and multi-cloud Model registry Open-source integrations How Domino Data Lab works Domino Data Lab takes code and data as input and produces models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, Kubernetes, AWS and Google Cloud, so the agent works inside existing workflows. Who uses Domino Data Lab? Domino Data Lab is built for regulated enterprise data science teams. It suits teams that want reproducible workspaces and model deployment without adding headcount, while keeping people in control of review and final decisions. Domino Data Lab vs Databricks Domino Data Lab is often compared with Databricks. Domino Data Lab stands out for reproducible workspaces and governance. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is EvolutionIQ? EvolutionIQ is an AI-native claims guidance platform for insurance professionals that turns complex claims data into clear action plans. It also offers Medhub, a medical data intelligence solution with disability, workers' compensation and demand management modules. Key capabilities of EvolutionIQ Claims Guidance: actionable insights and tactical recommendations to drive claims to resolution Portfolio monitoring: watches entire claim portfolios and directs staff to actionable cases Medhub: medical data intelligence Demandhub: demand management Line coverage: auto casualty, group and individual disability, workers' compensation, income protection How EvolutionIQ works The platform analyzes claims data across a portfolio, identifies which claims are most actionable, and gives adjusters recommended next steps aimed at the right care at the right time. Humans remain the decision makers on each claim. Who uses EvolutionIQ? Claims teams at carriers and administrators. Customers named include New York Life Group Benefit Solutions, Principal Financial Group, Reliance Matrix and Sedgwick. EvolutionIQ pricing EvolutionIQ does not publish prices on its homepage. EvolutionIQ alternatives FRISS focuses on insurance fraud and risk, Roots Automation automates insurance document workflows, and Artificial Labs provides insurance technology. EvolutionIQ is specific to claims guidance.

What is HiBob? HiBob, called Bob, is a people platform and HRIS that covers core HR, talent management, payroll and benefits, and workforce planning. It embeds an AI layer named Bob AI and serves more than 5,500 companies and 1.23 million people. Key capabilities of HiBob Employee self service: gives employees access to their own data Data and analytics: provides people analytics Workflows and automation: automates HR processes Talent management: covers hiring, performance, learning and skills Payroll and benefits: US and UK payroll, Payroll Hub, benefits administration and time and attendance Workforce planning and compensation: supports planning and pay decisions How HiBob works Bob holds employee records and workflows in one platform. HR teams run onboarding, performance, compensation, payroll and time tracking from the same data, while employees use self service. Bob AI is embedded across the platform, and an integrations module and marketplace connect other systems. Model details were not stated on the pages we read. Who uses HiBob? HR teams and people leaders at growing companies use it. The vendor reports 5,500+ customers managing 1.23 million people, and payroll is offered for the US and UK. HiBob pricing HiBob does not publish pricing on the pages we read. It is quote based, and cost depends on modules such as payroll, performance or workforce planning and on employee headcount. Contact the vendor for a proposal. HiBob alternatives Alternatives include Workstream for hourly workforce management, Retorio for video-based interview training, Yoodli for communication coaching, and 5Mins for employee engagement. Full-suite HRIS rivals should be compared separately.

What is Blackshark.ai? Blackshark.ai is an Austrian AI company, headquartered in Graz and founded in 2020, that aims to make the world machine-readable. It converts satellite and aerial imagery into structured models of terrain, buildings and infrastructure. Its digital twin of Earth was commissioned for Microsoft Flight Simulator. Key capabilities of Blackshark.ai HUNTR: trains custom object detection models on imagery in minutes REPLIKA: builds scalable 3D environments for simulation and digital twins Feature extraction: identifies buildings, roads and infrastructure 3D reconstruction: generates 3D maps from imagery Real World Models: structured representations for AI and autonomy Flexible deployment: tactical edge, on-premises or secure cloud How Blackshark.ai works Blackshark ingests satellite or aerial imagery, extracts features with AI and reconstructs them in 3D. Teams use HUNTR to train detectors for their own objects and REPLIKA to produce simulation-ready environments, deployed at the tactical edge, on-premises or in a secure cloud. Who uses Blackshark.ai? Government, geospatial intelligence, simulation, insurance, smart city and autonomy teams use Blackshark.ai. Blackshark.ai pricing Blackshark.ai does not publish pricing. Contact the vendor at its inquiries address for a quote. Blackshark.ai alternatives Blackshark.ai is compared with Ultralytics, Landing AI and Twelve Labs, which are general computer vision and video understanding tools, whereas Blackshark specializes in geospatial imagery.

What is Magic Patterns? Magic Patterns is an AI prototyping AI agent offering an AI design tool that turns prompts and screenshots into interactive UI prototypes and React code. Founded in 2023 and based in San Francisco, California, USA, Magic Patterns helps product managers and designers automate AI prototyping work and get results faster. Key capabilities of Magic Patterns Prompt-to-UI Screenshot to design Design system support Export to code Editable designs How Magic Patterns works Magic Patterns takes text and image as input and produces prototypes and code. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Figma, React, Tailwind CSS and Webflow, so the agent works inside existing workflows. Who uses Magic Patterns? Magic Patterns is built for product managers and designers. It suits teams that want prompt-to-UI and screenshot to design without adding headcount, while keeping people in control of review and final decisions. Magic Patterns vs v0 by Vercel Magic Patterns is often compared with v0 by Vercel. Magic Patterns stands out for prompt-to-UI and design system support. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is OpenHands? OpenHands is an open source platform for software engineering agents. It offers a GUI for interactive sessions, a CLI for terminal work, an SDK for embedding agents in custom applications and an enterprise deployment with model and data governance. Key capabilities of OpenHands GUI: interactive agent sessions CLI: terminal-based agent workflow SDK: embed agents in your own applications Enterprise deployment: model and data governance controls Sandboxed execution: third-party reports agents run inside Docker Cloud platform: hosted app alongside self-hosting How OpenHands works Developers run OpenHands through the GUI, the CLI or the SDK and point it at a model of their choice. Third-party sources report the agent writes code, runs terminal commands, browses the web and opens pull requests inside a sandboxed Docker environment. Who uses OpenHands? OpenHands is for developers and engineering teams who want an open source coding agent they can self-host or run in a cloud app. Third-party sources report an MIT license and roughly 89.7k GitHub stars. OpenHands pricing Third-party sources report the core toolkit is free under the MIT license, with cloud hosting from $20 per month including credits and enterprise by quote. These figures are not confirmed on the vendor page. OpenHands alternatives Alternatives include Plandex for terminal-based coding, Windsurf for an AI IDE and Amazon Q Developer for AWS-integrated coding.

What is QuantHealth? QuantHealth provides AI clinical trial simulation software that predicts how patients respond to treatments. It models trial outcomes before actual enrollment. Key capabilities of QuantHealth Trial simulation: Generates simulated results with diverse patients and unique response profiles Protocol optimization: Adjust criteria, arms, dosages and endpoints Indication selection: Supports choosing indications Enrollment prediction: Forecasts enrollment Biomedical Knowledge Graph: Links 350M lives, 100,000 drug elements and 180,000+ trials How QuantHealth works Users change inclusion and exclusion criteria, investigational arms, dosages and endpoints, and the platform simulates results using real-world data in its Biomedical Knowledge Graph. A multiple myeloma case study shows simulated Kaplan-Meier curves close to actual progression-free survival data. Who uses QuantHealth? Pharma and clinical development teams. Partners listed include IQVIA, Sanofi, Pfizer, Eli Lilly, Astellas and Accenture. QuantHealth pricing QuantHealth does not publicly disclose pricing. QuantHealth alternatives Alternatives include Certara for biosimulation, Inato for trial site matching and Weave Bio for regulatory document drafting.