AI Agents Marketplace

What is Taktile? Taktile is an AI decision platform built for financial institutions that combines AI with human oversight to automate critical decisions. It serves banking and insurance teams on onboarding, underwriting, fraud and claims. Key capabilities of Taktile AI Agent Manager: pre-built agents for financial services tasks Decision Engine: AI-native engine for building decision strategies Case Manager: integrated case management Context Layer: centralized data access for decisions KYC and KYB onboarding: verification workflows Credit underwriting: faster lending decisions AML and fraud investigation: fewer false positives Insurance underwriting and claims: scale without adding staff How Taktile works The Decision Engine runs strategies built by risk teams, the Context Layer pulls data from more than 25 data providers such as Experian and Plaid, and agents handle investigation and review steps. The Case Manager routes cases that need a person. The vendor cites AICPA and ISO certifications. Who uses Taktile? Taktile serves banks, lenders and insurers. Customer implementations cited by the vendor report 98%+ faster decisions and 95%+ reduction in manual work. Taktile raised a $110 million Series C led by Goldman Sachs. Taktile pricing Taktile does not publish prices. Platform contracts are quoted for each institution. Taktile alternatives Alternatives include Parcha for compliance and KYC agents, Greenlite for AI KYC and AML, and Castellum.AI for sanctions screening.

What is Sentry Seer? Sentry Seer is an AI debugging AI agent offering Seer, the Sentry AI agent that finds root causes of production errors and proposes fixes. Founded in 2024 and based in San Francisco, California, USA, Sentry Seer helps engineering teams on Sentry automate AI debugging work and get results faster. Key capabilities of Sentry Seer Root cause analysis Autofix pull requests Issue summaries Performance insights Repository context CI/CD integration How Sentry Seer works Sentry Seer takes errors and code as input and produces text and code. It is powered by Multiple LLMs (managed) models, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, GitLab, VS Code and JetBrains, so the agent works inside existing workflows. Who uses Sentry Seer? Sentry Seer is built for engineering teams on Sentry. It suits teams that want root cause analysis and autofix pull requests without adding headcount, while keeping people in control of review and final decisions. Sentry Seer vs Datadog Bits AI Sentry Seer is often compared with Datadog Bits AI. Sentry Seer stands out for root cause analysis and issue summaries. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is ASAPP? ASAPP is an agentic customer experience platform for contact centers. Its GenerativeAgent AI agent understands requests, reasons and acts to resolve customer interactions, with human agents kept in the loop. Key capabilities of ASAPP GenerativeAgent: AI agent that resolves customer interactions Human-in-the-loop: AI supports rather than replaces human agents Agent observability: visibility into AI decisions with testing and governance Safety agents: built-in safeguards and data governance Redaction: proprietary sensitive-data redaction How ASAPP works GenerativeAgent connects to your systems, reasons through a customer request, takes actions and hands off to a human agent when needed. Observability tools let teams test behavior and inspect why the agent decided what it did. Who uses ASAPP? Large contact centers in airlines, telecom and insurance. Named customers include American Airlines, Dish, JetBlue and Ernst and Young. ASAPP pricing ASAPP does not publish pricing. Buyers book a demo and receive a quote. ASAPP alternatives Ada and Forethought are AI customer service agents, Certainly builds conversational AI for support, and Ushur and Gleap offer automation and in-app support tools.

What is fal? fal is a cloud platform that offers pay-per-use AI model APIs and serverless GPUs for developers. It provides pre-built generative media models for video, image, audio and 3D, and lets teams deploy custom applications on GPU infrastructure. Key capabilities of fal Model APIs: video, image, audio and 3D generation endpoints Serverless GPUs: deploy custom apps on B300, GB200, B200, H200, H100 and RTX PRO 6000 Pay-per-use billing: pay only for resources used Custom deployment: flexible scaling for your own models Enterprise support: contact sales for dedicated solutions How fal works Developers call hosted model endpoints over an API or run their own code on serverless GPUs that scale with demand. Billing is consumption based, per generated unit for model APIs or per hour for GPU compute. Who uses fal? Developers and product teams building generative media features such as image or video creation, plus ML teams that need serverless GPU capacity without managing servers. fal pricing fal bills by consumption. Published examples include H100 80GB GPUs at $2.49 to $4.50 per hour, video generation at $0.025 to $0.14 per second, image generation at $0.0398 to $1.00 per unit and text-to-speech at $0.05 to $0.10 per 1,000 characters. fal alternatives Vast.ai, Hyperbolic and Nebius rent GPU compute, while PyTorch and TensorFlow are frameworks you would run on such infrastructure rather than hosted services.

What is Diffit? Diffit is a differentiated reading AI agent offering an AI tool that creates leveled readings, vocabulary and questions from any text, video or topic. Founded in 2023 and based in United States, Diffit helps K-12 teachers automate differentiated reading work and get results faster. Key capabilities of Diffit Leveled reading passages Vocabulary lists Comprehension questions Multilingual versions Standards alignment Student data privacy controls How Diffit works Diffit takes text, URL and video as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Classroom, Canvas LMS, Schoology and Microsoft Teams, so the agent works inside existing workflows. Who uses Diffit? Diffit is built for K-12 teachers. It suits teams that want leveled reading passages and vocabulary lists without adding headcount, while keeping people in control of review and final decisions. Diffit vs Eduaide.Ai Diffit is often compared with Eduaide.Ai. Diffit stands out for leveled reading passages and comprehension questions. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Wrtn? Wrtn is an AI super app from Wrtn Technologies, a company founded in 2021 in Seoul. It combines AI chat and search, writing assistance, image generation and AI character chat in one app, with a Korean-first experience. Press reports put it above 5 million monthly active users, and it lets users switch between multiple underlying models. Key capabilities of Wrtn AI chat and search: conversational search in Korean and other languages Writing tools: drafting and rewriting assistance AI characters: persona chat through its Crack service Image generation: creates images inside the app Model switching: access to several large language models Agent builder: Wrtn Agent OS lets users create agents without code How Wrtn works Users type or speak a request, pick a model or tool and Wrtn returns an answer, a draft, an image or a character conversation. Agent OS adds a no-code way for users and developers to build their own agents and apps. Who uses Wrtn? Consumers and creators in South Korea and Japan use Wrtn for study, writing and entertainment, with a business content generator listed separately. Wrtn pricing The vendor site could not be fetched, so pricing here comes from press coverage. Wrtn is reported to be largely ad-supported, with payment limited to some character customizations. Check the app for current plans. Wrtn alternatives Wrtn is compared with Mem and Lindy for AI assistants. Mem centers on AI notes, Lindy builds task agents, and Chinese models such as ERNIE Bot are regional competitors.

What is Vidu? Vidu is a text-to-video AI agent offering an AI video generator by ShengShu Technology with reference-to-video and consistent subjects. Founded in 2024 and based in Beijing, China, Vidu helps creators and marketers automate text-to-video work and get results faster. Key capabilities of Vidu Reference-to-video Subject consistency Fast generation Anime and realistic styles Commercial usage rights HD and 4K export How Vidu works Vidu takes text and image as input and produces video. It is powered by Vidu models, with the vendor managing prompts, models and updates. It connects to tools such as Adobe Premiere Pro, DaVinci Resolve, YouTube and TikTok, so the agent works inside existing workflows. Who uses Vidu? Vidu is built for creators and marketers. It suits teams that want reference-to-video and subject consistency without adding headcount, while keeping people in control of review and final decisions. Vidu vs Kling AI Vidu is often compared with Kling AI. Vidu stands out for reference-to-video and fast generation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is AgentOps? AgentOps is a developer platform for tracing, debugging and monitoring AI agents and LLM applications. It records LLM calls, tool calls and multi-agent interactions, and installs with pip install agentops. Key capabilities of AgentOps Visualize and debug: track LLM calls, tools and multi-agent interactions Time travel debugging: replay agent runs Agent-agnostic SDK: supports 400+ LLMs and frameworks including OpenAI, CrewAI and AutoGen Cost tracking: token counts and spend across models Production controls: audit trails, error tracking and prompt injection detection Session export: on Pro and above How AgentOps works You add the SDK to your agent code, and AgentOps records each event, meaning an LLM call, tool call or action. The dashboard visualizes sessions and lets you replay runs. Plans are metered by events per month. Who uses AgentOps? Developers building agents with frameworks such as CrewAI and AutoGen who need traces and cost visibility. The vendor cites more than 4,000 GitHub stars and users including Microsoft, Google, Samsung and Meta. AgentOps pricing Basic is free up to 5,000 events per month. Pro starts at $40 per month with unlimited events, log retention, session export and dedicated support. Enterprise is custom with SLA, custom SSO, on-premise deployment and SOC-2 and HIPAA compliance. AgentOps alternatives Zep and Mastra are agent memory and framework tools, while DataRobot, Dataiku and Domino Data Lab are broader enterprise ML platforms. AgentOps focuses on agent tracing.

What is Conker? Conker is a quiz generation AI agent offering an AI tool that creates standards-aligned quizzes and question sets for teachers in seconds. Conker helps K-12 teachers automate quiz generation work and get results faster. Key capabilities of Conker Quiz generation Question types Reading passages Google Forms export Rubric-based feedback How Conker works Conker takes text as input and produces quizzes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Classroom, Canvas, Google Forms and Microsoft Teams, so the agent works inside existing workflows. Who uses Conker? Conker is built for K-12 teachers. It suits teams that want quiz generation and question types without adding headcount, while keeping people in control of review and final decisions. Conker vs Quizizz Conker is often compared with Quizizz. Conker stands out for quiz generation and reading passages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Junia AI? Junia AI is an AI content platform for writing, optimizing and publishing SEO-focused articles. It adds keyword research, internal linking, images and scheduled publishing to the writing step. Key capabilities of Junia AI AI article writer and editor: Drafts and edits long-form articles 1-click optimization: Optimizes content for search Keyword research: Automated research Internal and external linking: Adds links automatically Brand Voice: Customizes tone AI image generation: Creates article images AutoBlog: Schedules and auto-publishes Auto Google Indexing: Submits for indexing How Junia AI works You enter a topic or keyword, Junia researches, drafts and optimizes the article, adds links and images, and AutoBlog can publish it on a schedule to your CMS. Plans are measured in articles per month. Team collaboration and API access are available. Who uses Junia AI? Marketers, bloggers and agencies producing SEO content at volume. It publishes to Shopify, Wix, WordPress, Webflow, Blogger, Ghost and Medium. Junia AI pricing Growth is $17 per month for 10 articles and Scale Starter is $29 per month for 68 articles. Scale Plus (136 articles) and Scale Pro (283) were listed without prices, and Done For You starts at $2,000 per month. A free trial needs no credit card. Junia AI alternatives Alternatives include Jasper for marketing copy, Surfer for SEO optimization, and Writesonic for AI articles and SEO tools.