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1,943 Listings in AI Agents Available
What is Oscilar? Oscilar is an agentic risk platform for financial institutions. It uses AI agents for detection, decisions and resolution across fraud, credit, onboarding and anti-money-laundering compliance. Key capabilities of Oscilar AI risk decisioning: The vendor cites 30B+ decisions per year with sub-100ms latency Fraud prevention: Account opening fraud, takeover, transaction and first-party fraud and scams Credit underwriting: B2C and B2B decisions, portfolio monitoring and collections AML compliance: Transaction monitoring, sanctions screening, KYC/KYB reviews and case management Agent Hub: Coordinated AI agents trained on institutional procedures Natural language policies: Define rules without SQL SAR narrative generation: Drafts narratives for suspicious activity reports How Oscilar works Applications and transactions flow into Oscilar, where device and behavioral intelligence feed real-time decisions. Agents in the Agent Hub score alerts, write investigation narratives and learn from analyst feedback, while teams write policies in plain language and monitor performance and drift. Customers report 45% fewer false positives and 3x faster case resolution. Who uses Oscilar? Oscilar is used by fintechs, banks and sponsor banks that run fraud, credit and compliance operations. Named customers include SoFi, MoneyGram, Nuvei and Clara. Oscilar pricing Oscilar does not publish pricing or detailed integration documentation. Visitors are directed to request a demo. Oscilar alternatives Alternatives for fraud and risk decisioning include Sardine and Alloy, which also serve fintech and bank risk teams. Oscilar frames its offering around coordinated agents across fraud, credit and AML.
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What is Corgea? Corgea is a security code fixes AI agent offering an AI application security tool that finds vulnerabilities and generates secure code fixes. Founded in 2023 and based in San Francisco, California, USA, Corgea helps application security and engineering teams automate AI security code fixes work and get results faster. Key capabilities of Corgea AI SAST False positive reduction Auto-generated fixes Policy-based scanning Inline PR comments Custom review rules How Corgea works Corgea takes code as input and produces code 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 GitHub, GitLab, Bitbucket and Jira, so the agent works inside existing workflows. Who uses Corgea? Corgea is built for application security and engineering teams. It suits teams that want AI SAST and false positive reduction without adding headcount, while keeping people in control of review and final decisions. Corgea vs Snyk Corgea is often compared with Snyk. Corgea stands out for AI SAST and auto-generated fixes. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Graphlit? Graphlit is a RAG as a service AI agent offering a platform that ingests unstructured content and powers RAG, knowledge graphs and AI agents. Graphlit helps developers building AI apps automate RAG as a service work and get results faster. Key capabilities of Graphlit Content ingestion connectors Knowledge graph extraction RAG pipelines MCP tools Developer SDKs Open-source components How Graphlit works Graphlit takes documents, audio and web pages as input and produces context and text. It is powered by Any LLM (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Python, TypeScript, OpenAI and Anthropic, so the agent works inside existing workflows. Who uses Graphlit? Graphlit is built for developers building AI apps. It suits teams that want content ingestion connectors and knowledge graph extraction without adding headcount, while keeping people in control of review and final decisions. Graphlit vs Ragie Graphlit is often compared with Ragie. Graphlit stands out for content ingestion connectors and RAG pipelines. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Boom? Boom is a vacation rental operations AI agent offering an AI-native property management system for vacation rentals with an AI agent for guests and operations. Boom helps vacation rental managers automate vacation rental operations work and get results faster. Key capabilities of Boom AI guest agent Task automation Channel management Owner reporting 24/7 guest replies PMS integration How Boom works Boom takes text and data as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Airbnb, Booking.com, Vrbo and Guesty, so the agent works inside existing workflows. Who uses Boom? Boom is built for vacation rental managers. It suits teams that want AI guest agent and task automation without adding headcount, while keeping people in control of review and final decisions. Boom vs Jurny Boom is often compared with Jurny. Boom stands out for AI guest agent and channel management. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Sighthound? Sighthound develops computer vision AI for video analysis, specializing in automatic license plate recognition (ALPR), vehicle analytics, video redaction and edge computing hardware. It serves law enforcement, smart surveillance and enterprise customers. Key capabilities of Sighthound License plate recognition: Retriever reads plates from most countries Vehicle identification: make, model, color and generation from 1991 onward Object detection and tracking: vehicles, trucks, buses, motorcycles, people and bicycles Moving and static cameras: vehicle detection from both Video redaction: Redactor removes faces and plates automatically Edge AI hardware: rugged US-manufactured on-site devices How Sighthound works Retriever analyzes video from fixed or moving cameras to detect vehicles, read plates and classify make, model and color. Redactor ingests video, image or audio files and automatically blurs or removes personally identifiable information such as faces and plates. Models run in the cloud or on Sighthound edge devices for on-site processing. Who uses Sighthound? Law enforcement agencies, fleet and telematics providers, surveillance integrators and privacy teams use it. Sighthound says it serves over 2,800 customers and partners, with named partners including Argonne Laboratory, Garmin, Safe Fleet and Platform Science. Sighthound pricing Retriever and edge hardware are priced by quote. For Redactor, the redactor.com pricing page lists a Pro desktop plan at $2,500 per year for one user, with server licensing starting at $3,500 a year plus $500 per additional user. Sighthound alternatives Alternatives include Chooch for enterprise vision AI, Deepomatic for visual inspection, Amazon Rekognition for cloud image and video analysis, Google Cloud Vision AI for image models, and Azure AI Vision for Microsoft-hosted vision APIs.
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What is Kili Technology? Kili Technology is a data annotation platform that helps organizations build high-quality datasets for training and evaluating AI models. It supports images, video, text, audio, geospatial data and documents, with collaborative workflows for large annotator teams. Key capabilities of Kili Technology Multi-modal annotation: Label images, video, text, audio, geospatial data and documents. AI-assisted pre-annotation: Automatic first-pass labels to speed up annotators. Quality review workflows: Review steps to check label quality. Role-based access: Task distribution and permissions across projects. Performance tracking: Real-time performance tracking for annotators. How Kili Technology works Teams create projects, load data, and assign tasks to annotators with role-based access. AI pre-annotation proposes labels, annotators correct them, and review workflows check quality before data is exported. The vendor lets you coordinate hundreds of annotators across dozens of projects while keeping project-level data isolation. Who uses Kili Technology? AI and data teams that build training sets use Kili, along with enterprises that need labeling at scale. The vendor names SAP, Louis Vuitton, Capgemini, Michelin and Airbus among its customers. Kili Technology pricing The vendor lists three tiers: a free Starter plan, Pro at $9 per month, and Enterprise with custom terms. Its site says no credit card is required to start a trial. Kili Technology alternatives Labelbox is a widely used labeling platform, SuperAnnotate offers annotation with managed services, and Scale AI sells labeling as a service. Kili is distinguished by its cloud or on-premise options and compliance certifications.
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What is Verint? Verint is a CX automation platform for enterprise contact centers that pairs AI bots with analytics, quality management and workforce engagement. Its Verint Da Vinci AI and bots power conversational and agentic AI, copilots and automated quality scoring. Key capabilities of Verint Conversational and agentic AI: Automates customer interactions across channels Quality automation: Evaluates up to 100% of interactions automatically Copilots: Assist agents by automating manual tasks Knowledge automation: Gives humans and bots consistent information CX analytics: Turns customer experience data into insights Workforce engagement: Scheduling, forecasting and resource planning with Calabrio One Specialized bots: Quality Bot, Wrap Up Bot and Interviewing Bot How Verint works Verint layers AI bots on interaction data held in its CX Data Hub. Bots score conversations, summarize calls to cut after-call work and surface knowledge to agents, while workforce tools use the same data for forecasting and scheduling. The vendor says it connects to existing contact center and CRM systems without a full replacement. Who uses Verint? Enterprise contact centers and CX teams. Named customers include Google, New York Life, Fiserv, Pilot Flying J and Utilita, and Verint says it serves 85% of the Fortune 100. Verint pricing Verint does not publish pricing. Contact the vendor for a quote based on seats and modules. Verint alternatives Alternatives include LivePerson for conversational AI, Gladly for customer service software and Espressive for employee help desks. Verint differs by bundling quality, workforce and analytics with its bots.
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What is Roots Automation? Roots Automation is an AI agent platform for insurance, operated by Roots Automation, Inc. and now presenting under the Bevaya name. Its agents read, analyze and recommend across underwriting, claims and policy servicing, using InsurGPT technology the vendor says is trained on more than 300 million insurance documents. Key capabilities of Roots Automation Underwriting agents: read submissions and prepare underwriting intake Claims agents: handle claims intake and indexing Policy servicing agents: process servicing documents and requests Document intelligence: extracts data with 98%+ accuracy according to the vendor Explainability: grounded explanations for decisions Human-in-the-loop review: people confirm recommendations before they are used How Roots Automation works Agents ingest insurance documents such as submissions, claims files and policy paperwork, extract and reason over the content with InsurGPT, and recommend a next step or populate core systems. Reviewers check outputs and approve or correct them. The vendor says deployments reach production within weeks and one user cut claims indexing from five days to under an hour. Who uses Roots Automation? Insurers, brokers and third-party administrators use it. The vendor reports three of the top five US P&C carriers, three of the top ten brokers and three of the top 20 TPAs, with more than 120 workflows in production and a Net Promoter Score of 74. Roots Automation pricing Pricing is not published. Roots Automation quotes custom pricing after scoping the workflows involved. Roots Automation alternatives The listing compares it with Trullion, Docyt, Nilus and April, which are finance and accounting automation tools. In insurance document automation, buyers also look at Hyperscience and Sixfold.
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What is Surfer? Surfer is an AI SEO platform for optimizing and writing content and tracking visibility in AI search. Content teams use it to score drafts, plan topics and monitor how brands appear in AI answers. Key capabilities of Surfer Content editor scoring: Optimize drafts against SERP data. AI article writer: Generate drafts with Surfy. Topical maps: Plan topic coverage. AI tracker: Monitor AI search prompts daily or weekly. Plagiarism checking: Included on all plans. How Surfer works You enter a keyword, Surfer builds optimization guidance, and you draft or generate content in its editor with the Surfy assistant, scoring it as you go. AI Tracker plans monitor a set number of prompts, such as 50 daily on Pro, to show brand visibility in AI search. Who uses Surfer? Content marketers, SEO teams and agencies use Surfer to optimize articles and track AI search presence. Surfer pricing Billed yearly, the vendor lists Discovery at $49 per month with 120 documents, Standard at $99 with 360 documents, Pro at $182 with 50 daily AI prompts, Peace of Mind at $299 with unlimited documents and AI Search Analytics at $82. Enterprise is custom, and most plans offer a free start. Surfer alternatives Writesonic combines AI writing with SEO tools, Copy.ai focuses on marketing copy workflows, and Persado serves regulated enterprise copy. Surfer is distinguished by SERP-based content scoring with AI search tracking.
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What is Evertune? Evertune is a generative engine optimization (GEO) platform that shows how brands appear in answers from AI models and helps them improve that visibility. It also places advertising inside AI conversations. The vendor reports more than 700 advertisers and agencies as users, including Roku, WPP and Athenahealth. Key capabilities of Evertune Explore consumer prompts: surfaces the questions consumers ask AI models, drawing on a panel of more than 150 million user prompts Measure brand visibility: samples each prompt up to 100 times per model across 11 AI models to quantify how often a brand is mentioned Gap analysis: identifies prompts and topics where competitors appear and the brand does not Automated content strategy: an agent suggests content and affiliate partnership actions to raise AI visibility AI advertising: places ads within AI conversations and retargets users afterward Competitive benchmarks: compares share of voice in AI answers against rival brands How Evertune works Evertune follows an Explore, Measure, Act, Advertise loop. It first collects the questions consumers put to AI models, then repeatedly samples model answers to measure where a brand shows up, and flags visibility gaps. Its agent then proposes content and partnership actions, and the advertising layer can run ChatGPT ad campaigns to fill those gaps. Marketers review and approve what gets published or bought. Who uses Evertune? Evertune is aimed at brands and agencies that want to understand and influence how AI assistants describe their products. Named users include Roku, Absolute Collagen, Halo Collar, WPP and Athenahealth. Evertune pricing Evertune does not publish prices. Access is through a demo request, and the Pro and Enterprise tiers are quoted by the vendor. Evertune alternatives Evertune is compared with AthenaHQ, Bluefish, AirOps, Outranking and SEO.ai in the AI visibility space. Semrush covers AI visibility inside a broader SEO suite, while AirOps centers on content workflows.
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What is Aiera? Aiera is an AI-enabled platform that provides compliant access to proprietary financial content, including broker research, expert insights, earnings transcripts, filings and news. Key capabilities of Aiera Coverage: Monitors 15,000+ global equities and 100+ macro and regulatory entities. Transcripts: Human-reviewed transcripts claimed at 99.9% accuracy, with real-time AI transcripts. Event tracking: Covers 50,000+ events with linked documents and filings. Entitlement-aware access: Transparent sourcing and centralized controls for regulated environments. Model enrichment: Supplies contextual retrieval to language models through APIs and MCP. How Aiera works Aiera acts as a compliant access layer between proprietary financial content and the tools analysts use. Content is delivered through APIs, custom dashboard components, desktop and mobile apps, and the Model Context Protocol, and it can enrich language models from providers such as Anthropic, OpenAI and Microsoft Azure. Entitlements are checked so users only retrieve content they are licensed to see. Who uses Aiera? Investment firms, research teams and regulated financial institutions that need AI over licensed content. Backers named by the vendor include Bank of America, Barclays, Bernstein, Citi, Deutsche Bank, Evercore, HSBC, Jefferies, Macquarie, Third Bridge and UBS. Aiera pricing No pricing is published. Prospective customers request a demo through the website, and no free plan is listed. Aiera alternatives Related tools include Bigdata.com and Portrait Analytics for AI financial research, and Tradytics for trading analytics. Aiera is narrower, centered on licensed content and event transcripts.
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What is Ash? Ash is a therapy AI agent offering an AI therapy app from Slingshot AI built on a psychology-trained model for voice and text support sessions. Ash helps adults seeking mental health support automate therapy work and get results faster. Key capabilities of Ash Voice therapy sessions Text conversations Memory of past sessions Insights between sessions Voice and text sessions Mood tracking How Ash works Ash takes voice and text as input and produces voice 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 iOS, Android, Apple Health and Web browsers, so the agent works inside existing workflows. Who uses Ash? Ash is built for adults seeking mental health support. It suits teams that want voice therapy sessions and text conversations without adding headcount, while keeping people in control of review and final decisions. Ash vs Woebot Ash is often compared with Woebot. Ash stands out for voice therapy sessions and memory of past sessions. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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