Best AI Agent Builders Software - Page 45

TraceAgently

TraceAgently is a real-time observability and monitoring platform designed for AI agents, providing developers with comprehensive insights into their agents' operations. By integrating TraceAgently, users can monitor every thought process, tool invocation, and response of their AI agents, ensuring optimal performance and cost management. The platform supports seamless integration with various frameworks, including LangChain, CrewAI, and custom agent loops, requiring only minimal code modifications. Key Features and Functionality: - Real-Time Trace Viewer: Observe live streams of your agent's activities, including thoughts, tool calls, and responses, with detailed timelines, token counts, and cost per step. - Automatic Kill-Switch: Set cost limits per trace to automatically terminate runaway agents that exceed predefined budgets, preventing unexpected expenses. - Loop Detection: Identify and halt infinite loops by detecting repetitive tool calls, with configurable thresholds to suit specific needs. - Trace Comparison: Compare different runs side-by-side to analyze changes in cost, token usage, duration, and event count, facilitating performance optimization. - Magic Fix Pro: Utilize AI-driven diagnostics to automatically identify and suggest fixes for agent failures, streamlining the debugging process. - Cost Tracking: Monitor token usage and estimate costs per trace to maintain budget control and resource allocation. - Email Alerts Pro: Receive instant notifications when kill-switches are activated or loops are detected, enabling prompt intervention. - Error Pattern Detection: Automatically group and rank recurring errors across runs to identify and address systemic issues efficiently. Primary Value and Problem Solved: TraceAgently empowers developers to maintain full visibility and control over their AI agents, mitigating risks associated with runaway processes and unforeseen costs. By providing real-time monitoring, automatic intervention mechanisms, and comprehensive diagnostics, the platform ensures that AI agents operate efficiently, reliably, and within budget constraints. This proactive approach to agent observability enhances performance, reduces downtime, and fosters trust in AI deployments.

Trampoline

Trampoline AI specializes in developing and deploying reliable, production-ready agentic workflows that automate complex business processes. With over two years of experience, Trampoline AI transforms organizational operations by integrating sophisticated AI agents that seamlessly adapt to existing systems, enhancing efficiency and scalability. Key Features and Functionality: - Process Automation: Utilizes proprietary methodologies to identify and automate key business processes, creating robust, fault-tolerant agentic systems that integrate with current tools and software. - Managed Agent Services: Ensures continuous uptime and reliability of deployed agents through strict Service Level Agreements (SLAs) and premium customer support. - Business Transformation: Assists organizations in rethinking value creation by navigating AI-driven transformations, helping them stay ahead of AI-native competitors. - Visual Language Model: Employs advanced visual capabilities to interpret various documents, images, and videos, enabling agents to handle diverse inputs effectively. - Automated Knowledge Base: Maintains an up-to-date knowledge system by leveraging validated work and designated sources, ensuring accuracy and relevance. - Document Worker: Provides bespoke AI tools for precise document manipulation, including form filling, information extraction, highlighting critical points, and redaction. - Recursive Language Model: Features an open-source core AI engine designed for complex, long-running tasks, capable of invoking sub-agents, scripting, and context management within a secure, sandboxed environment. - Smart Third-Party Integration: Offers deep, custom-made integrations that align agents with third-party system data models, maximizing the value of the entire software stack. - Evals as a Service: Incorporates evaluation and governance techniques to build resilience and robustness against complex use cases. - Retraining & Fine-Tuning: Enables agents to be trained and fine-tuned continuously or as needed, improving outcomes over time through usage and feedback. Primary Value and Solutions: Trampoline AI addresses the challenge of building reliable AI agents by offering a comprehensive suite of services and technical foundations that ensure seamless integration, continuous improvement, and robust performance. By automating intricate workflows and providing managed agent services, Trampoline AI empowers organizations to enhance operational efficiency, reduce manual workload, and stay competitive in an AI-driven landscape.

Tray.ai

Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™

Average Rating: 4.5/5.0

Total Reviews: 153

Treasure AI Studio

Treasure AI Studio is a conversational AI workspace that lets teams explore customer data, build segments, design journeys, and launch campaigns using natural language — no coding required. As the central interface to Treasure AI's Agentic Experience Platform, Studio connects users to AI agents across web, desktop, mobile, CLI, and voice. Over 30 pre-built skills compress tasks that once took months into minutes. Every AI decision is transparent and reviewable, keeping humans in control of high-impact actions.

Truffle AI

Trylli AI

Trylli AI is an advanced voice-to-voice artificial intelligence system designed to revolutionize business communications by automating tasks such as sales calls, customer support, appointment reminders, and feedback collection. By creating intelligent, multilingual voice agents that operate around the clock, Trylli AI ensures businesses can engage with their customers more efficiently and effectively. Key Features and Functionality: - Customizable AI Voice Agents: Users can easily create and configure AI agents tailored to specific objectives, such as making sales calls, sending reminders, collecting feedback, or providing support. - Multilingual Support: The platform supports over 25 languages, enabling businesses to communicate with a diverse customer base. - High Accuracy and Speed: With a 99.3% accuracy rate and operations up to five times faster than traditional methods, Trylli AI enhances the efficiency of voice communications. - 24/7 Availability: AI agents are available around the clock, ensuring continuous customer engagement without the limitations of human working hours. - User-Friendly Interface: The platform offers a no-code setup, making it accessible for both engineers and business users to create and manage voice agents effortlessly. - Integration Capabilities: Trylli AI is designed to integrate seamlessly with over 100 CRM, payment, and scheduling systems, streamlining workflows and data management. Primary Value and Solutions Provided: Trylli AI addresses the challenges businesses face in maintaining consistent and effective voice communication with customers. By automating routine calls and interactions, it reduces the workload on human staff, minimizes errors, and ensures timely responses. The multilingual support and high accuracy rates enhance customer satisfaction and engagement. Additionally, the platform's scalability and integration capabilities allow businesses to adapt and grow without compromising communication quality. Overall, Trylli AI empowers organizations to optimize their voice communication strategies, leading to improved operational efficiency and stronger customer relationships.

Unifill AI

Unifill AI is a technology company dedicated to revolutionizing business operations through custom artificial intelligence solutions. By automating workflows and enhancing data-driven decision-making, Unifill AI empowers organizations to operate more efficiently and scale effectively. Their expertise spans various industries, providing tailored AI implementations that integrate seamlessly with existing systems. Key Features and Functionality: - AI Chatbot Solutions: Develops intelligent chatbots that offer 24/7 assistance across websites, applications, and customer touchpoints, integrated with company data and workflows. - Tool Integration & Custom API Bridges: Connects various applications, databases, and platforms through customized automation flows, ensuring cohesive operations. - MCP Server & AI Model Deployment: Hosts and fine-tunes AI models on client infrastructure, optimized for specific industry requirements. - Centralized Social & Blog Poster: Manages content distribution across multiple platforms from a single dashboard, featuring smart scheduling and AI-generated content. - Automated Email Campaigns: Creates personalized email sequences triggered by user behavior, utilizing AI for content generation and optimization. - AI Insights from Data: Provides natural language interfaces to databases, enabling instant insights and data-driven decisions. Primary Value and Solutions: Unifill AI addresses the challenges of manual processes and fragmented systems by delivering AI-driven automation that enhances operational efficiency. Their solutions reduce manual workload, minimize errors, and enable teams to focus on strategic initiatives. By integrating AI into existing workflows, Unifill AI helps businesses scale smarter and grow faster, transforming operations to meet the demands of a dynamic market.

UpBrains AI

UpBrains AI creates and deploys purpose-built automation agents that run end-to-end document workflows—from the moment content lands in a shared inbox or message queue to its final hand-off into core business systems. Native connectors plug directly into customer-operations tools such as Outlook, Gmail, Front, Zendesk, and Salesforce Service Cloud, letting agents capture every incoming email, chat, or attachment. Downstream, the platform syncs bi-directionally with ERP, CRM, and finance applications—including NetSuite, SAP, Microsoft Dynamics, and Salesforce—so extracted data flows seamlessly into order, inventory, and billing records. These AI agents read messages and documents, understand context, extract and validate data, and automatically route or complete tasks without human intervention. Specialized document-generation agents can even create downstream artifacts—like Certificates of Analysis automatically generated from laboratory results—ensuring compliance and auditability. Operations and IT teams configure everything through a drag-and-drop Agent Builder, while a multi-agent orchestration layer can be leveraged to coordinate complex sub-flows at scale. The platform shortens cycle times, reduces errors, and frees customer-facing teams to focus on exceptions and service rather than manual data entry.

Average Rating: 5.0/5.0

Total Reviews: 1

Upsolve AI

Upsolve AI is the platform for deploying governed, grounded, and trustworthy AI data agents to your internal teams or external customers. It helps data teams move past the broken self-serve BI promise by combining the conversational power of large language models with the rigor of a robust semantic layer, rich business context, and built-in evaluation and observability to put agent and context improvements on a flywheel. End users get accurate answers while the data team stays in control. The platform has two complementary components: the Upsolve Data Agent and the Upsolve Agent Context Studio. 1. The Upsolve Data Agent. The Upsolve Data Agent does what a good data analyst does. It answers business questions in natural language, asks clarifying questions when a request is ambiguous, generates charts and reports on the fly, and helps users explore the underlying data without writing SQL. These analyst behaviors come built into the agent itself. What the Upsolve Data Agent does: Conversational, natural-language Q&A over your data, with built-in text-to-SQL Multi-step reasoning across datasets, generate interactive charts on-demand(30+ chart types: bar, line, pie, scatter, heatmap, funnel, and more), auto-generated reports and summaries tailored to a user's role (exec, PM, ops, support, finance), conversational drill-down and follow-up turns in the same thread. The Upsolve Data Agent is designed to be easily customizable. We don't believe in an out-of-the-box data agent. Data agents are only useful and reliable with rich context and when assessed against your own performance benchmarks. A generic LLM connected to a database produces generic answers and hallucinated metrics. To produce true, traceable, and transparent answers about your business, the agent needs three more things, and that is where the Data Agent Studio comes in. 2. Upsolve Data Agent Studio. The Data Agent Studio is the place for your team to make the Data Agent accurate, reliable, and trustworthy. It is built on three layers: Data Layer, Context Layer, and Trust and Evals Layer. Data Layer: OOTB database connectors + Cockpit for Semantic Layer construction Database connectors for ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, and other major data warehouses. Robust data governance with Multi-tenant architecture with row- and column-level permissioning. For teams that don't have a unified semantic layer model, the Cockpit tool provides a guided and guardrailed interface that takes your team from fragmented data to a clean, AI-ready semantic layer in a week, instead of the six to eight months a typical V1 takes. Context Layer: your data agent needs a unified, auto-curated, and auto-refreshed context layer. The Context Layer connects your files, docs, and systems (Notion, Confluence, Google Drive, internal wikis, product release notes, dbt files, data catalogs, metric glossaries) and curates the information the agent needs to understand the business behind the numbers. It captures product launches, definition changes, ontology, naming conventions, and team-specific business logic so a query like "usage spiked last week" turn into "usage spiked last week, and this correlates with Tuesday's Pro plan launch". The Context Layer scans for updates across systems of records connected to it, flags context gaps, and suggests updated. Humans always in the loop. Trust and Evals Layer: Testing, end-of-end observability, and evaluations according to your benchmarks. Sandbox environment for pre-deployment testing, plus production logs after launch. Full LLM observability: every prompt, tool call, model used, retrieved context, and reasoning step is logged, traceable, and reviewable. Built-in evaluations: define gold-standard queries and answers, run tests, and catch agent drift with in-built LLM-as-a-judge evaluators before stakeholders. This system then creates a self-improving feedback loop when corrections from your team feed back into the agent's eval set so quality compounds over time. Together, those three Data Agent Studio components turn a generic agent into one that produces accurate, reliable, and trustworthy answers your team can defend. Delivery and deployment: The Upsolve Agentic Dashboard is a conversation-driven exploration surface for end users, with 30+ chart types, interactive filters, drill-down, PDF export, scheduled email, and version history. End users can save generated charts to a personal dashboard or simply tell the agent their role and have it auto-build a full dashboard for that persona, solving the blank-page problem typical of self-serve BI tools. SSO, role-based access control, and audit logging are included. The same Data Agent you customized can be accessed by your users wherever they already work. Embedded inside your own product as customer-facing analytics for B2B SaaS as an iFrame or React component; deploy into Slack and Microsoft Teams as in-channel data bot; access in Claude, ChatGPT, Cursor, and any MCP-compatible client to get data while you work and stage multi-agent workflows; or any custom application via REST API. Common use cases: Internal self-service business intelligence for data teams that don't want to be a ticket queue. Customer-facing embedded analytics for B2B SaaS products. Conversational analytics, generative BI (GenBI), and agentic BI deployments AI-powered reporting and operational analytics for ops, finance, support, and product. Multi-tenant SaaS analytics with row-level security. Looker, Tableau, Power BI alternatives for teams that want an AI-native approach. Why Upsolve AI AI-native architecture. Upsolve was built around the agent from day one, not retrofitted onto a legacy BI tool. Data team in control. The semantic layer, business context, and evals all live with your team, not buried inside a black-box LLM. Fast time-to-value. Cockpit takes you from fragmented data to a working semantic layer in a week. Real evaluation. Most "AI for BI" tools skip evals. Upsolve makes them first-class. Build in Studio, access anywhere. The same agent across internal dashboards, Slack, Teams, your product, and MCP-compatible clients. Enterprise-ready. SSO, role-based access control, multi-tenant governance, audit logging, and full observability included. Built for modern data and AI stacksUpsolve plugs into Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL. It works alongside dbt, existing semantic layers, and your data catalog. The Data Agent can be invoked from Claude, ChatGPT, Cursor, or any MCP-compatible client, making it easy to compose multi-agent workflows where Upsolve handles the data analysis step. YC W24.

Average Rating: 4.8/5.0

Total Reviews: 16

Ushur

Ushur is a purpose-built Agentic CX Automation platform designed to streamline journeys across the entire customer lifecycle,  specifically for regulated industries. We set the standard for best-in-class self-service customer experiences, enabling customers to start, navigate, and complete complex requests end to end—without handoffs, callbacks, or loss of context. Designed from the ground up for healthcare, insurance, and financial services, Ushur AI agents operate at the highest levels of security, compliance, auditability, and control, ensuring trust is never compromised. The platform uniquely combines intelligent, agentic automation with seamless human handoff and industry-leading outbound capabilities, enabling proactive, two-way engagement across text, email, voice, and chat. At enterprise scale, Ushur helps organizations improve customer retention and customer growth, while reducing staff burden for customer service and delivering the fastest time to value through a no-code deployment.

Average Rating: 4.4/5.0

Total Reviews: 17

Vegavid Technology

Vegavid Technology is an AI-first engineering firm dedicated to building the next generation of autonomous business systems. While our roots are in deep tech, our mission is centered on Artificial Intelligence and Agentic Workflows. We help enterprises transition from manual processes to intelligent automation through custom LLM integration, RAG architectures, and AI Agent development. Beyond intelligence, we provide the secure infrastructure needed for modern tech, blending Blockchain and Cloud-native software to ensure your AI solutions are as secure as they are smart. With 200+ experts and 400,000+ hours of technical R&D, we turn complex data into your company’s greatest competitive advantage. Our AI Core: AI Agent Development: Custom autonomous agents for support, sales, and operations. Generative AI & LLMs: Fine-tuned models, RAG implementation, and NLP solutions. Computer Vision: Advanced OCR, video analytics, and 3D object generation.

VeltrisOne

Velyr

Velyr is an AI growth agent built for Shopify stores and direct-to-consumer brands that want to increase revenue without hiring a conversion rate optimization agency. Most Shopify merchants and DTC brands know they are losing sales somewhere in their funnel, but they do not know exactly where, and they do not have the time or technical resources to fix it. Velyr solves both problems automatically. Velyr connects to your store in two ways: directly to your Shopify theme via Shopify's authenticated API, or to your GitHub repository if your storefront is built on a custom stack. It also connects to your PostHog analytics account to analyze traffic patterns, bounce rates, scroll depth, click behavior, and checkout drop-off data, pinpointing the exact pages and UI elements where visitors leave without converting. Once it identifies the highest-impact issue, it writes the fix in Liquid, CSS, or JavaScript and proposes it for deployment. Every change goes through a Telegram-based approval flow: you receive a plain-language summary of what Velyr wants to change and why, and you approve or reject it with a single reply. Nothing goes live without your explicit sign-off. If an approved change ever negatively impacts performance, Velyr automatically rolls it back. For Shopify users, Velyr holds a Protected Scope Exemption for direct theme writes. Fixes are applied as a staged theme change in your Shopify admin, ready for you to review and publish. For GitHub users, Velyr opens a Pull Request with the proposed change, which you merge after approval. Key capabilities include automated conversion drop-off detection via PostHog analytics, AI-generated Liquid, CSS, and JavaScript fixes scoped to your codebase, direct Shopify theme deployment or GitHub Pull Request workflow, a Telegram approval flow for every change, automatic rollback on performance degradation, and PostHog analytics injection for stores without existing tracking. Velyr is designed for Shopify store owners, DTC brand operators, and e-commerce growth teams who want the output of a CRO specialist without the agency retainer. Priced at 49 EUR per month with a 14-day free trial, no credit card required.

Vendoroo

Verse