AI Agents Marketplace

What is Keras? Keras is a high-level deep learning AI agent offering a high-level deep learning API that runs on JAX, TensorFlow and PyTorch. Founded in 2015 and based in Mountain View, California, USA, Keras helps developers and researchers automate high-level deep learning work and get results faster. Key capabilities of Keras Multi-backend API Simple model building KerasHub pretrained models Production export Open-source community Distributed training How Keras works Keras takes code and data as input and produces trained 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, CUDA, Hugging Face and Kubernetes, so the agent works inside existing workflows. Who uses Keras? Keras is built for developers and researchers. It suits teams that want multi-backend API and simple model building without adding headcount, while keeping people in control of review and final decisions. Keras vs PyTorch Keras is often compared with PyTorch. Keras stands out for multi-backend API and KerasHub pretrained models. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Pi? Pi is a personal AI companion AI agent offering a supportive, conversational personal AI from Inflection AI built for friendly everyday chats. Founded in 2022 and based in Palo Alto, California, USA, Pi helps individuals seeking a conversational AI automate personal AI companion work and get results faster. Key capabilities of Pi Empathetic conversation Voice chat Advice and brainstorming Free access Cross-app actions Personal context memory How Pi works Pi takes text and audio as input and produces text and audio. It is powered by Inflection models, with the vendor managing prompts, models and updates. It connects to tools such as Gmail, Google Calendar, Slack and Notion, so the agent works inside existing workflows. Who uses Pi? Pi is built for individuals seeking a conversational AI. It suits teams that want empathetic conversation and voice chat without adding headcount, while keeping people in control of review and final decisions. Pi vs ChatGPT Pi is often compared with ChatGPT. Pi stands out for empathetic conversation and advice and brainstorming. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Terra Security? Terra Security is an agentic offensive security platform that automates continuous penetration testing. AI agents test web applications, external and internal networks and AI systems while human operators oversee critical decisions. Key capabilities of Terra Security Web application testing: Handles adaptive authentication and business logic. External network assessment: Tests exposed infrastructure. Internal network pentesting: Covers internal attack surface. AI red teaming: Targets LLMs, copilots and AI agents. TORCH: Terra Offensive Research Collaboration Hub for agent-human work. Ambient and Copilot agents: Automate testing steps. Signed reports: Audit-ready reports signed by certified pentesters. How Terra Security works Agents test continuously and align validation with code changes instead of a single yearly test. A Human-on-the-Loop workflow keeps people in control at critical decision points. Terra says it moves 4 to 6 week testing to 2 to 4 hours. Who uses Terra Security? Security teams that need frequent pentesting evidence for compliance and engineering teams shipping often. Terra Security pricing Terra Security does not publish pricing or a free trial. Terra Security alternatives Lasso Security focuses on LLM security and Traversal on AI site reliability. Terra Security is built for offensive testing and pentest reporting.

What is Google Cloud Natural Language? Google Cloud Natural Language is a text analysis AI agent offering a Google Cloud API for sentiment, entity and syntax analysis and content classification. Founded in 2016 and based in Mountain View, California, USA, Google Cloud Natural Language helps developers on Google Cloud automate text analysis work and get results faster. Key capabilities of Google Cloud Natural Language Sentiment analysis Entity recognition Content classification Syntax analysis Custom model training Multilingual support How Google Cloud Natural Language works Google Cloud Natural Language takes text as input and produces structured data. It is powered by Google (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Python, AWS, Azure and Google Cloud, so the agent works inside existing workflows. Who uses Google Cloud Natural Language? Google Cloud Natural Language is built for developers on Google Cloud. It suits teams that want sentiment analysis and entity recognition without adding headcount, while keeping people in control of review and final decisions. Google Cloud Natural Language vs Amazon Comprehend Google Cloud Natural Language is often compared with Amazon Comprehend. Google Cloud Natural Language stands out for sentiment analysis and content classification. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Sherpa.ai? Sherpa.ai is a privacy-preserving AI AI agent offering a Spanish AI company offering a federated learning platform for training models on private data without sharing it. Based in Bilbao, Spain, Sherpa.ai helps healthcare, finance and government organizations automate privacy-preserving AI work and get results faster. Key capabilities of Sherpa.ai Federated learning Privacy-preserving training Secure model sharing Regulated data AI Auditable AI outputs Enterprise deployment How Sherpa.ai works Sherpa.ai takes data as input and produces models 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 Microsoft 365, Salesforce, SAP and REST APIs, so the agent works inside existing workflows. Who uses Sherpa.ai? Sherpa.ai is built for healthcare, finance and government organizations. It suits teams that want federated learning and privacy-preserving training without adding headcount, while keeping people in control of review and final decisions. Sherpa.ai vs Owkin Sherpa.ai is often compared with Owkin. Sherpa.ai stands out for federated learning and secure model sharing. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Freeday? Freeday is an enterprise platform that deploys autonomous AI agents, which it calls digital employees, to handle complete workflows across customer service, finance, healthcare and other sectors. Key capabilities of Freeday End-to-end automation: agents verify identity, process payments, resolve issues and close tickets Multi-channel support: voice, chat, email and WhatsApp Cross-system execution: works across existing business applications Exception handling: escalates to humans with full auditability Continuous learning: improves from every interaction In-infrastructure data: data remains within your infrastructure How Freeday works Freeday agents take requests over voice, chat, email or WhatsApp and act in connected business systems to finish the task, such as verifying identity and processing a payment. When an exception arises they escalate to a person with an audit trail. Deployment takes about four weeks from assessment to live agents. Who uses Freeday? Freeday lists BUX, Landal, Bitvavo, Erasmus University, CitizenM, Pathe and Vodafone Ziggo among customers. It reports an 85%+ resolution rate on routine workflows and 99.7% accuracy on accounts payable processing. Freeday pricing Freeday uses outcome-based pricing, described as pay per resolved interaction. No per-interaction rate is published. Freeday alternatives Alternatives include Yellow.ai for conversational automation, Cognigy for contact center AI and Moveworks for employee support.

What is OX Security? OX Security is an enterprise application security platform that protects software from code creation through runtime. Its OX AINAPP platform centers on Application Security Posture Management (ASPM) to surface reachable, exploitable risks. Key capabilities of OX Security VibeSec: Prevents vulnerabilities in AI-generated code as developers write it OX Code: SAST and SCA testing across the pipeline OX Cloud: Cloud security built for agentic threats OX Agentic Pentester: Autonomous penetration testing for exploitable vulnerabilities SBOM generation: Software Bill of Materials output Secrets and PII discovery: Finds exposed secrets and personal data API exposure management: Maps exposed APIs Compliance automation: Supports compliance reporting How OX Security works OX connects to source control, CI/CD, cloud platforms and ticketing systems, then correlates findings from scanners into one dashboard. It filters for reachable, exploitable issues; one example on its site reduces 11,237 original alerts to 123 prioritized critical issues. Findings flow to tools such as GitLab, Jira and Slack for remediation. Who uses OX Security? OX Security is used by application security and DevSecOps teams at enterprises. Named customers include eToro, SoFi, IBM, Microsoft, Intel, Bosch and Swisscom. OX Security pricing OX does not publish prices. Its site offers free trial options and enterprise demos, with paid terms from the vendor. OX Security alternatives Alternatives include Backslash Security, which focuses on reachability analysis, and other ASPM platforms. OX positions itself on full code-to-cloud coverage with AI-native tooling.

What is CallRail? CallRail is a call tracking and conversation intelligence platform that attributes calls, texts and form submissions to marketing sources. Higher plans add AI call summaries and sentiment analysis. A Voice Assist add-on provides an AI voice assistant, and HIPAA-compliant healthcare options are available. Key capabilities of CallRail Call and text tracking: tracks and attributes calls and texts Call recording and routing: records and directs inbound calls Transcription and analysis: transcribes calls for review Conversation intelligence: summaries and sentiment analysis on Lead Conversion plans Form tracking: attribution for form submissions on Complete plans Voice Assist: AI voice assistant add-on How CallRail works Customers use tracking numbers on campaigns and websites. CallRail records and transcribes calls, matches them to source data, and on higher plans generates AI summaries and sentiment so teams see which leads converted. Automation rules route and tag calls, and managers review the transcripts. Who uses CallRail? Marketing agencies and small and midsize businesses use CallRail to prove which campaigns drive calls, and healthcare organizations use its HIPAA-compliant options. CallRail pricing Lead Tracking is $50 per month, Lead Tracking Complete is $95, Lead Conversion is $150 and Lead Conversion Complete is $195, with yearly plans saving up to 10%. Usage fees apply beyond included allowances. Voice Assist starts at $95 per month. A 14-day free trial needs no credit card. CallRail alternatives CallRail is compared with Fireflies.ai, Avoma, Jiminny, Siro and Clari Copilot. Most of those analyze sales meetings, whereas CallRail focuses on inbound call attribution.

What is Inferless? Inferless is a serverless inference AI agent offering serverless GPU inference for deploying custom machine learning models quickly. Inferless helps ML teams automate serverless inference work and get results faster. Key capabilities of Inferless Serverless model deployment Autoscaling Custom runtimes Monitoring OpenAI-compatible APIs How Inferless works Inferless takes model weights as input and produces APIs. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, Docker, Kubernetes and Hugging Face, so the agent works inside existing workflows. Who uses Inferless? Inferless is built for ML teams. It suits teams that want serverless model deployment and autoscaling without adding headcount, while keeping people in control of review and final decisions. Inferless vs Baseten Inferless is often compared with Baseten. Inferless stands out for serverless model deployment and custom runtimes. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Vise? Vise is an SEC-registered investment adviser and wealth management platform for registered investment advisors (RIAs). It combines software with asset management to build personalized, tax-aware portfolios and automate operations. Key capabilities of Vise Portfolio construction: Equities, fixed income, alternatives and third-party models. Direct indexing: Single-stock customization. Tax-loss harvesting: Conducted daily. Rebalancing: Drift-aware automated trading. Long Short strategies: 130/30, 145/45 and similar. Reporting: Client reporting and risk monitoring. How Vise works Advisors define client profiles and Vise builds and trades portfolios at custodians such as Schwab, Fidelity, BNY Mellon Pershing, Goldman Sachs, Raymond James and Altruist. Accounts remain at the existing custodian. This is not personalized investment advice. Who uses Vise? RIAs managing client portfolios. Minimums vary: none for direct indexing, $125,000 for fixed income and $250,000 in taxable assets for Long Short. Vise pricing Vise does not publish its fees on its homepage. Vise alternatives Zest AI, Scienaptic and Personetics serve lenders and banks, so they are different segments. Vise is a portfolio management platform for advisors.

What is Unit8? Unit8 is a Swiss data and AI services company headquartered in Lausanne that helps traditional enterprises turn data into value. It maintains the open-source Darts forecasting library. Key capabilities of Unit8 Consulting: Data and AI strategy Solutions: Custom implementations Data platforms: Infrastructure builds MLOps: Platform operations Generative AI services: Application development Darts: Open-source forecasting library How Unit8 works Unit8 teams work with clients on strategy, build solutions and platforms and operate them, using tools such as Darts for time-series forecasting. Who uses Unit8? Enterprises such as Merck, Swiss Re, Daimler, Firmenich, Helvetia and Julius Baer, with offices in Switzerland, Germany, Poland and the USA. Unit8 pricing Unit8 does not publish prices. Darts is open source and free. Unit8 alternatives Alternatives include Nixtla for forecasting and Akkio and Pecan AI for predictive analytics.