
StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.
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Netra
Netra is the reliability platform for AI agents, enabling teams to observe, evaluate, simulate, and continuously improve every decision their agents make, so they can ship with confidence and identify regressions before they reach users. Built on OpenTelemetry, SOC2 Type II certified, and compliant with GDPR and HIPAA.
Key Features
1. Observability: Full-fidelity tracing that covers every phase of multi-step, multi-agent, and multi-tool workflows. Each reasoning step, LLM call, tool invocation, and retrieval is captured in full, with inputs, outputs, timing, and cost recorded at every stage.
2. Evaluation: Automated quality scoring on every agent decision, powered by built-in rubrics, custom LLM-as-judge and code evaluators, and online evaluations on live traffic. Automated checks ensure regressions are caught and stopped before they reach production.
3. Simulation: Agents are stress-tested against thousands of real and synthetic scenarios before going live. Teams can run diverse personas, conduct A/B comparisons against a baseline, and quantify confidence levels before any user interaction.
4. Prompt Management: Every prompt is versioned, lineage-tracked, and rollback-safe. Every production response can be traced back to the exact prompt version that generated it, ensuring complete accountability and control.
Netra is built on OpenTelemetry, making it compatible with any OTLP-compliant backend and ensuring teams can get started with just 2 to 3 lines of code. It integrates with 14+ LLM providers including OpenAI, Anthropic, Google Gemini, and AWS Bedrock, and 12+ AI frameworks including LangChain, LangGraph, CrewAI, and LlamaIndex.
The platform is SOC2 Type II certified and compliant with GDPR and HIPAA, with strict US and EU data residency and zero cross-region data sharing. Enterprise teams get on-premise deployment, isolated databases, and SSO.
Available on a Free plan, a Pro plan at $39 per month, and custom Enterprise plan.
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Respan
Respan is a comprehensive AI observability and evaluation platform engineered to help teams build, monitor, and improve AI agents without guesswork. It offers deep execution tracing that captures every layer of agent behavior, including message flows, tool calls, routing decisions, memory interactions, and final outputs. Instead of providing isolated dashboards, Respan creates a unified closed-loop system that connects observability, evaluation, optimization, and deployment. Teams can establish metric-first evaluation frameworks centered on accuracy, reliability, safety, cost efficiency, and other mission-critical performance indicators. Capability evaluations allow teams to hill-climb new features, while regression suites protect previously validated behaviors from breaking. Multi-trial testing accounts for non-deterministic model outputs, ensuring statistically meaningful performance analysis. Respan’s AI-powered evaluation agent analyzes failures across runs, pinpoints root causes, and recommends which tests should graduate or be expanded. The platform integrates seamlessly with leading AI providers and ecosystems, including OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, LangChain, and LlamaIndex. It is built to handle production workloads at massive scale, supporting organizations processing trillions of tokens. Enterprise-grade compliance standards—including ISO 27001, SOC 2 Type II, GDPR, and HIPAA—ensure data security and privacy. With SDKs, integrations, and prompt optimization tools, Respan empowers engineering and product teams to debug faster, reduce production risk, and ship more reliable AI agents.
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