Best AI Agent Builders Software - Page 40

Oracle AI (Construction)

Oraion

Orchestrik.ai

OrgLogic

OrgLogic is the AI workspace for enterprise, running on one Company Brain inside one governance layer. It is built by Troopr Labs, an AI company founded in 2019 with 600+ enterprise deployments across 30+ countries, and it is designed for organizations where AI adoption is driven centrally by IT, security, or data and AI leadership rather than by one team experimenting. Employees get multi-model AI chat with every major model in one place, smart routing that picks the right model per task, and the ability to switch models mid-conversation. Teams go beyond chat using the built-in AI agent platform, where named agents carry packaged expertise through Skills and connect to the systems where work already happens, including Salesforce, Jira, Confluence, Slack, SharePoint, ServiceNow, GitHub, and Google Workspace. Underneath both sits the Company Brain, one grounded source of what the organization knows, so answers cite the company's own documents with a source and a last-synced date, and say they do not know rather than guess. IT gets a complete AI governance tool on every plan, including free: bring your own keys with zero surcharge, PII redaction before queries reach a model, per-agent connector permissions, a full and exportable audit trail down to the agent level, per-team budget caps and cost analytics, and SSO and SCIM for enterprise rollout. Deploy in cloud, in your own VPC, or on-premise, backed by SOC 2 Type II, ISO 27001, HIPAA and GDPR. Simple per-seat pricing that consolidates single-model subscriptions, with a free tier to start.

Orkestia

Orkestia connects AI tools to real work through typed, governed workflows that run in your own cloud. Paste the Orkestia MCP URL into Claude, Cursor, Codex or Lovable, sign in, and your AI agent can run production operations such as deploys, CI runners, Kubernetes, networks, container registries, webhooks and incident response. Every action is a typed, audited workflow, not an ad-hoc script. The same workflows can be called by people from the console, by code through the API, or by AI agents over MCP, and all three share one history. The AI designs a workflow once, and after that it runs without calling the model again. Execution happens in your own cloud account, with integrations for AWS, Azure, Kubernetes, GitHub, Cloudflare, Stripe and more. Built for platform, DevOps and engineering teams who want AI agents doing real operational work with governance, auditability and control. Self sign-up, with published pricing.

OverMind

Overmind

Overmind is an open-source model training platform for AI teams. It takes the OpenTelemetry traces your agent already emits and turns them into a smaller specialised model you own, trained and benchmarked with your own evaluators. - Observability: OpenTelemetry-native trace ingest, OTLP straight to the API with no collector, plus a span explorer, sessions and shareable filtered views. Evaluators score root spans as they arrive. - Datasets: curated from production traces, uploads or imports from Langfuse, LangSmith, Braintrust and Galileo. Every row keeps provenance back to its source trace. - Data Workshop: the dataset's own agent prepares and audits the data and proposes steps you approve or deny. Each step is a readable Python cell and a version. - Eval: five evaluator kinds (LLM judge, deterministic, trajectory, statistical, agentic), eval sets and an eval library. The same evaluators run in batch experiments and in continuous production scoring. - Optimiser: rewrites prompts, tool definitions and agent logic as real git diffs and scores them against a baseline. The winning diff is yours to apply. - Training: managed GPU fine-tuning, LoRA or full, of 38 open-weight base models including Qwen, Llama, Gemma and GPT-OSS. Every trained model is benchmarked with your own evaluators, and you can compare it against the model you run in production today. - Inference: OpenAI-compatible serving of trained and frontier models. Weights are downloadable, so the model can run in your own environment. The platform is AGPL-3.0, with an MIT-licensed Python SDK and CLI. Self-host it with Docker Compose, or start free in the hosted console.

Ovrin

Ovrin is a compute cloud platform offering isolated Linux sandboxes for AI coding agents. Each sandbox provides a full Linux environment with a filesystem, network stack, process table, and shell, booting in milliseconds. Using gVisor, it intercepts system calls to contain untrusted code. Sandboxes are provisioned on demand and destroyed after tasks complete. The platform includes pre-configured templates for Claude Code, Codex, Gemini CLI, and DeepSeek Harness, ready to use without Dockerfiles. Chrome and Playwright browsers run within the sandbox, enabling agents to interact with web content, scrape data, and capture screenshots. A persistent memory system stores context across instances. Security features include default-deny egress policies, Kubernetes namespace isolation, and scoped API keys. A unified API with Python and TypeScript SDKs supports compute, memory, browsers, secrets, and payments.

Parcha

Parlant

Parlant is an open-source, LLM-agnostic conversation engine for building compliant, and production-ready AI customer-facing agents.

Paz.ai

AgentPass.ai is a secure platform designed to facilitate the deployment of AI agents within enterprise environments by providing production-ready Model Context Protocol (MCP) servers. It enables users to set up fully hosted MCP servers without the need for coding, incorporating built-in features such as user authentication, authorization, and access control. Developers can convert OpenAPI specifications into MCP-compatible tool definitions, allowing for efficient management of complex API ecosystems through nested structures. The platform also offers observability tools, including analytics, audit logs, and performance monitoring, and supports a multi-tenant architecture to manage multiple environments. By utilizing AgentPass.ai, organizations can safely scale AI automation while maintaining centralized oversight and compliance across their AI agent deployments. Key Features and Functionality: - No-Code MCP Server Deployment: Set up fully hosted MCP servers without writing any code, streamlining the integration of AI agents with existing APIs. - OpenAPI to MCP Conversion: Transform OpenAPI specifications into MCP-compatible tool definitions, facilitating seamless integration and reducing manual effort. - Built-In Authentication and Access Control: Implement robust security measures with integrated user authentication, authorization, and access control to protect APIs and manage agent access effectively. - Tool Organization: Manage complex API ecosystems efficiently by organizing related tools into nested folder structures, enhancing clarity and navigability. - Performance Monitoring: Gain insights into MCP server activity with built-in analytics, audit logs, and performance monitoring to ensure optimal operation. - Multi-Tenant Architecture: Manage multiple MCP servers for different teams, clients, or environments from a single, centralized console, simplifying administration and scaling across the organization. Primary Value and Problem Solved: AgentPass.ai addresses the challenge of securely and efficiently connecting AI agents to existing APIs without requiring extensive development work. By providing a no-code platform with integrated security features, it allows organizations to quickly deploy AI agents, reducing development time and mitigating security risks associated with custom solutions. This enables businesses to scale AI automation initiatives while maintaining centralized oversight and compliance, ultimately enhancing operational efficiency and innovation.

Pedestal AI

Pedestal AI is a platform designed to transform fragmented enterprise data into a reliable foundation for building enterprise-grade agents, particularly in sectors like supply chain, manufacturing, and retail. By integrating with diverse enterprise systems, Pedestal enables organizations to develop intelligent agents that deliver accurate insights and automate complex workflows within days, rather than months. Key Features and Functionality: - Data Integration and Contextualization: Pedestal connects to various enterprise systems, learning and validating key metrics to create a trustworthy data foundation. - Intelligent Insights: The platform analyzes scattered data to provide actionable insights, such as optimizing time to insight, enhancing warehousing operations, and improving customer insights. - Automation of Manual Processes: Pedestal automates critical tasks like customer communications, workforce planning, and order processing, reducing manual effort and increasing operational efficiency. - Scalability and Reliability: Proven within Fortune 500 supply chains, Pedestal ensures that agents operate with high accuracy and reliability across various industries. Primary Value and Problem Solved: Pedestal AI addresses the challenge of fragmented and unstructured enterprise data by providing a unified platform that transforms this data into a dependable foundation for intelligent agents. This enables organizations to gain accurate insights and automate essential workflows rapidly, leading to improved operational efficiency, reduced manual labor, and enhanced decision-making capabilities.

Perceptive

Perceptive offers an AI-native agentic workforce designed to automate critical operational functions within European enterprises. By deploying specialized AI agents, Perceptive seamlessly integrates with existing systems to manage tasks across back-office operations, customer service, voice communications, and sales processes. This comprehensive solution enhances efficiency, reduces manual workload, and ensures consistent performance across various business functions. Key Features and Functionality: - Back-Office Agents: Automate routine tasks such as data entry, address corrections, order reconciliation, and exception handling across systems like TMS, OMS, ERP, and CRM. - Customer Agents: Handle tier-1 and tier-2 customer interactions via chat, email, and in-app messaging, managing requests like refunds, address changes, and policy inquiries, with escalation to human agents only when necessary. - Voice Agents: Conduct inbound and outbound calls in the company's brand voice, offering sub-second response times, full call recording, and smooth transitions to human representatives when required. - Sales Agents: Engage website visitors by qualifying leads, providing personalized product demonstrations, recovering abandoned carts, and scheduling human sales interactions at the optimal time. Primary Value and Solutions Provided: Perceptive addresses the challenge of operational inefficiencies by automating essential business functions, allowing enterprises to focus on strategic initiatives. The platform's AI agents are tailored to specific industries, ensuring rapid deployment and adaptation to unique operational demands. By implementing Perceptive's solutions, businesses can achieve significant improvements in conversion rates, customer satisfaction, and overall operational performance, all while maintaining robust governance and compliance standards.

Perissos

THE FULL LIFECYCLE Perissos covers an AI agent from design to retirement. Not every stage is shipped; perissos.ai marks exactly what is live today, and we would rather you check than take our word for it. BEFORE IT SHIPS Know which obligations will bind the agent before you write it, and publish a signed Agent Passport your customers can verify: what the agent is, what it may do, who approved it, and how it is stopped. WHILE IT RUNS Keep the agent inside the rules at the moment it acts, with each decision kept as dated evidence rather than a log line nobody can cite. AFTER IT SHIPS Post-market monitoring and serious-incident readiness that answer to the Act's own deadlines, not a generic playbook. TESTING YOUR OWN AGENTS Adversarial testing under your authorisation, with results sealed as dated evidence you can put in front of an auditor. SEEING WHAT YOUR BUYERS SEE A read of your agents from the outside, the way a customer's security team would see them, bound to the obligations each finding implicates.

PFAgents

PFAgents is a no-code platform that enables businesses to build, customize, and deploy AI agents tailored to their operational needs. By integrating generative AI and augmented intelligence, PFAgents automates redundant tasks, enhances human capabilities, and transforms industry workflows. The platform offers seamless integration with over 1,500 systems, allowing users to connect AI agents to existing tools and processes without extensive technical expertise. Key Features and Functionality: - No-Code Agent Creation: Users can design AI agents through a drag-and-drop interface, defining workflow logic and deployment triggers without writing code. - Customizable Workflows: The platform allows for the configuration of tailored workflows, decision-making logic, and response patterns to suit specific operational requirements. - Seamless Integrations: PFAgents supports integration with a wide range of platforms, including CRMs, databases, APIs, and other third-party tools, facilitating smooth automation across various systems. - Self-Learning Capabilities: AI agents can evolve with business processes, adapting dynamically to meet changing goals and requirements. - Human-in-the-Loop: While automating processes, the platform allows for human intervention at any point, ensuring oversight and control over AI-driven workflows. Primary Value and Problem Solved: PFAgents addresses the challenge of operational inefficiencies by automating routine tasks and optimizing resource allocation. By deploying AI agents, businesses can enhance productivity, reduce manual errors, and free up human resources for strategic initiatives. The platform's no-code approach democratizes AI deployment, enabling organizations without extensive technical expertise to leverage advanced automation solutions. This transformation leads to streamlined operations, improved decision-making, and a competitive edge in rapidly evolving industries.