AI Agents Marketplace

What is Equip? Equip is a hiring assessments AI agent offering a skills assessment and AI interview platform with anti-cheating proctoring. Equip helps recruiting teams automate hiring assessments work and get results faster. Key capabilities of Equip Skills assessments AI interviews Proctoring Question library ATS and HRIS integration Structured reporting How Equip works Equip takes text and video as input and produces scores and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Workday, BambooHR, Greenhouse and Lever, so the agent works inside existing workflows. Who uses Equip? Equip is built for recruiting teams. It suits teams that want skills assessments and AI interviews without adding headcount, while keeping people in control of review and final decisions. Equip vs TestGorilla Equip is often compared with TestGorilla. Equip stands out for skills assessments and proctoring. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Unique AI? Unique is an enterprise AI platform built for financial institutions. It deploys purpose-built agents that power end-to-end workflows for wealth managers and asset managers while handling sensitive financial data securely. Key capabilities of Unique AI Grow agents: Meeting prep, call logs and lead generation Invest agents: Investment research, portfolio construction and fund screening Operate agents: Compliance automation, client onboarding and account remediation Flexible deployment: Multi-tenant cloud, single-tenant, self-hosted or on-premises Audit trails: Transparent audit trails for regulatory compliance Security: Encryption at rest and in transit with independent audits How Unique AI works Firms connect their data and systems, choose a deployment model, and run agents across relationship management, investing and operations. Implementation typically takes 1-5 months depending on complexity and data readiness. Options include multi-tenant cloud (Azure Switzerland), single-tenant on Unique AI Cloud, self-hosted on the client's cloud, or on-premises. Who uses Unique AI? Unique serves wealth and asset managers and banks. The vendor cites firms managing $5+ trillion in assets, 50,000+ financial professionals, and clients including Standard Chartered, BNP Paribas, Pictet and Julius Baer. Unique AI pricing Unique does not publish pricing, and quotes come from the vendor. Unique AI alternatives Alternatives include Trullion, Numeric and HighRadius, which target finance and accounting automation. Unique targets wealth and asset management workflows.

What is NVIDIA NeMo? NVIDIA NeMo is a generative AI framework AI agent offering NVIDIA framework and microservices for building, customizing and deploying generative AI models. Founded in 2019 and based in Santa Clara, California, USA, NVIDIA NeMo helps enterprise AI developers automate generative AI framework work and get results faster. Key capabilities of NVIDIA NeMo LLM training and customization Guardrails Speech AI NeMo microservices Open-source community Distributed training How NVIDIA NeMo works NVIDIA NeMo takes text, audio and code as input and produces models and APIs. It is powered by NVIDIA Nemotron and open models models, with the vendor managing prompts, models and updates. It connects to tools such as Python, CUDA, Hugging Face and Kubernetes, so the agent works inside existing workflows. Who uses NVIDIA NeMo? NVIDIA NeMo is built for enterprise AI developers. It suits teams that want LLM training and customization and guardrails without adding headcount, while keeping people in control of review and final decisions. NVIDIA NeMo vs Hugging Face NVIDIA NeMo is often compared with Hugging Face. NVIDIA NeMo stands out for LLM training and customization and speech AI. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Lamini? Lamini is an enterprise LLM tuning AI agent offering an enterprise LLM platform for fine-tuning and memory tuning to reduce hallucinations. Lamini helps enterprise AI teams automate enterprise LLM tuning work and get results faster. Key capabilities of Lamini Memory tuning Fine-tuning On-prem deployment Inference Open weights or APIs Efficient training How Lamini works Lamini takes text as input and produces models and text. It is powered by Open models models, with the vendor managing prompts, models and updates. It connects to tools such as Hugging Face, Python, PyTorch and AWS, so the agent works inside existing workflows. Who uses Lamini? Lamini is built for enterprise AI teams. It suits teams that want memory tuning and fine-tuning without adding headcount, while keeping people in control of review and final decisions. Lamini vs Predibase Lamini is often compared with Predibase. Lamini stands out for memory tuning and on-prem deployment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is DataRobot? DataRobot is an enterprise platform for building, operating and governing AI agents at scale. It covers agentic AI, generative AI and predictive AI, with governance and observability tools, and offers open-source tools Covalent and syftr. Key capabilities of DataRobot Agentic AI platform: builds enterprise agents from customizable blueprints Generative and predictive AI: covers both model types in one suite AI governance: tracks compliance, access controls and automated auditing Observability: monitors agent behavior and quality in real time Compute orchestration: allocates compute dynamically for agents Model registry and AutoML: retained from its predictive roots per the category listing How DataRobot works DataRobot organizes work into Build, Operate and Govern phases. Teams start from blueprints and integrations to create agents, run them with dynamic compute orchestration and quality monitoring, and apply governance through compliance tracking, access controls and automated auditing. It runs on-premises, hybrid or across clouds. Who uses DataRobot? Large enterprises that need agents in production with governance use it. The vendor says it is co-engineered with NVIDIA, is an exclusive partner for SAP's ecosystem, and has been named a Leader three times in Gartner's Magic Quadrant for Data Science and Machine Learning Platforms. DataRobot pricing DataRobot does not publish prices on its homepage. Enterprise licensing is quote based, and trial access and demos are offered through the website. Contact sales for pricing tied to deployment model and usage. DataRobot alternatives Alternatives include Dataiku for collaborative data science, Domino Data Lab for model operations, BentoML for open-source model serving, Seldon for model deployment and Valohai for ML pipelines.

What is Salesforce Agentforce? Salesforce Agentforce is a platform for building and deploying autonomous AI agents that act across service, sales, marketing and commerce. The agents are grounded in Salesforce CRM and business data. Key capabilities of Salesforce Agentforce Agent Builder: Create agents and define their actions. Service and sales agents: Autonomous agents for customer-facing and employee-facing work. Atlas reasoning engine: Reasoning layer that plans agent actions. Data Cloud grounding: Grounds agents in CRM and business data. Guardrails and governance: Controls over agent behavior. How Salesforce Agentforce works Admins build agents in the Salesforce builder and ground them in CRM and Data Cloud data. Agents then take actions in service, sales and other flows. Usage is metered in conversations or Flex Credits, which the Digital Wallet tracks in real time, with threshold alerts. Who uses Salesforce Agentforce? Salesforce customers deploying agents for support, sales and commerce use Agentforce. Employee-facing deployments can use per-user licenses. Salesforce Agentforce pricing Salesforce lists $2 per conversation, or Flex Credits at $500 per 100k credits, where a standard action costs 20 credits and a voice action 30. An Agentforce User License is $5 per user per month, and a free Foundations tier exists. Salesforce Agentforce alternatives Clari focuses on revenue forecasting, Regie.ai on sales content and outreach, and 11x on autonomous sales development agents. Agentforce is native to Salesforce CRM data.

What is H2O.ai? H2O.ai is an AI company whose products span open-source machine learning (H2O-3), automated machine learning (Driverless AI) and enterprise generative AI (h2oGPTe and the H2O AI Super Agent). Its platform targets regulated industries that need on-premises or air-gapped deployment. Key capabilities of H2O.ai H2O-3: Apache-licensed open-source ML framework for Python and R Driverless AI: AutoML with automatic feature engineering and explainability H2O LLM Studio: no-code fine-tuning of language models Enterprise h2oGPTe: secure generative AI for regulated industries Hydrogen Torch: template-based deep learning for images, text and time series Feature Store: shared repository of reusable features How H2O.ai works Data teams use H2O-3 or Driverless AI to build and explain predictive models, and LLM Studio to fine-tune language models without code. h2oGPTe and the H2O AI Super Agent add multi-model generative AI with cost controls and app integrations. H2O.ai states deployments carry no data sharing and no model exfiltration. Who uses H2O.ai? Data scientists, banks, telecoms and other regulated enterprises use it. H2O.ai cites Commonwealth Bank of Australia cutting fraud losses by 70% and AT&T reporting 2X ROI in free cash flow from h2oGPTe. H2O.ai pricing H2O-3 is free and open source under the Apache license. Driverless AI, h2oGPTe and the Super Agent are enterprise products, and the vendor site lists no prices, so cost is set by quote. H2O.ai alternatives Alternatives include DataRobot for enterprise AutoML, Dataiku for collaborative data science, Alteryx for analytics workflows, Altair RapidMiner for visual ML, and Tellius for conversational analytics.

What is Sisense? Sisense is an AI-powered embedded analytics platform that puts analytics inside customer-facing products. It stresses grounding AI in approved data and governance. Key capabilities of Sisense Natural language querying: AI assistant answers data questions. Automated narratives: Summarizes complex results in text. Explanations: Identifies drivers behind a data change. Pulse, forecast and trend analysis: Built-in analytic functions. Compose SDK and APIs: Embed analytics in code frameworks. Multi-tenant support: Serves many customers from one deployment. Row-level security: Enforces data access rules. How Sisense works Teams connect data, model it with shared formulas and semantic enrichment, then embed dashboards and AI features using the Compose SDK, APIs or MCP connections. The AI assistant answers questions grounded in the approved data model. Row-level security limits what each user sees. Who uses Sisense? Sisense is used by product and engineering teams embedding analytics in software. The vendor names PagerDuty, Philips, Cropin, Bigtincan and Barrios, and reports 215 percent ROI at Bigtincan. Sisense pricing Sisense references plans but lists no prices on the page reviewed. Users must contact Sisense directly. Sisense alternatives Alternatives include Looker, which offers governed BI and embedding, GoodData, which targets embedded analytics, and Qlik, which offers associative analytics and embedding.

What is Winnow? Winnow is a food waste reduction AI agent offering an AI food waste system that uses computer vision to measure and cut kitchen waste. Founded in 2013 and based in London, United Kingdom, Winnow helps hotels, contract caterers and commercial kitchens automate food waste reduction work and get results faster. Key capabilities of Winnow Camera-based waste tracking Waste analytics Menu insights Sustainability reporting Phone order taking POS integration How Winnow works Winnow takes images as input and produces analytics and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Toast, Square, Clover and Olo, so the agent works inside existing workflows. Who uses Winnow? Winnow is built for hotels, contract caterers and commercial kitchens. It suits teams that want camera-based waste tracking and waste analytics without adding headcount, while keeping people in control of review and final decisions. Winnow vs Leanpath Winnow is often compared with Leanpath. Winnow stands out for camera-based waste tracking and menu insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Simular? Simular is an AI company founded by former DeepMind scientists to free people from digital labor. Its flagship Sai is a multi-agent platform that runs autonomous computers for repetitive screen-based tasks. Key capabilities of Simular Sai: Cloud-based autonomous computers with zero setup Agent S: Open-source computer-use agent framework on GitHub Simulang: Open-source scripting language for browsers, native apps and OS workflows Neurosymbolic AI: Vendor says it cuts token use by over 90 percent Personal and cloud: Runs on personal devices and cloud computers Team solutions: Teams, Enterprise, Sales, Finance, Marketing and Operations How Simular works Sai operates a computer like a person, clicking and typing across apps to complete tasks. Simulang lets you teach a workflow once and replay it in code. Agent S is the open research framework. Who uses Simular? Individuals, businesses and developers. The vendor says it was first to reach human level on OSWorld 1.0. Simular pricing Per search results of the vendor pricing page, Explore is free with a daily credit allowance, Pay as you go is $50 per month with 50,000 credits and Sai Unlimited is $500 per month. Verify current plans with the vendor. Simular alternatives Alternatives include Gemini, Microsoft Copilot and Suna. Simular is centered on autonomous computer use.