Company profile
Edge Delta
AI-native observability platform with agentic AI for incident management.
- Category
- AI agents & automation
- Headquarters
- Seattle, Washington United States
- Sells to
- Enterprise
- Business model
- Freemium, SaaS subscription
- Deployment
- Cloud / SaaS, On-premise, Hybrid, Edge
- Pricing
- Per user per month, with usage-based credits for AI inference · from $20/mo · free tier
- Builds own models
- No — builds on existing models
- Modalities
- Text, Tabular
What Edge Delta does
Edge Delta provides an AI-native observability platform that leverages agentic AI to automate incident management and remediation for DevOps, SRE, and security teams. The platform offers AI Teammates (SRE, Security Engineer, Software Engineer, Work Tracker) that continuously gather context from streaming data, triage alerts, perform root cause analysis, and recommend or even implement fixes. It integrates with existing observability stacks and allows users to store telemetry data in their own infrastructure while still benefiting from AI-powered investigations. Edge Delta's Telemetry Pipelines pre-process data at the edge, ensuring clean, governed data for AI models, optimizing costs, and enhancing security and compliance.
Products
- AI TeammatesAutonomous AI agents designed for intelligent observability, covering detection, investigation, code review, and ticket management. They query telemetry data natively, learn from past behavior, and correlate signals to reduce MTTR and alert fatigue.
- AI SRE TeammateAn AI agent that automatically triages alerts, runs root cause analysis, and recommends fixes for SRE teams, reducing on-call stress and accelerating investigations.
- AI Security Engineer TeammateAn AI agent that reviews PRs for security vulnerabilities and leaked secrets, monitors environments for suspicious activity, and ensures compliance for security teams.
- AI Software Engineer TeammateAn AI agent that reviews PRs, explores codebases, proposes targeted fixes, and opens pull requests directly in repositories for engineering teams.
- AI Work Tracker TeammateAn AI agent that watches alerts, security findings, and incidents, opening or updating tickets when work is missing or unowned, and linking them back to the source for all teams.
- Telemetry PipelinesA system that processes data at the edge before it reaches any model, filtering noise, masking sensitive information, normalizing signals, and routing data to optimize costs and ensure clean, governed data for AI Teammates.
Key capabilities
- AI RCA Investigations
- Out of the Box AI Teammates
- Pre-Built System Prompts
- Pre-Built AI Connectors
- Access to Anthropic, OpenAI & Gemini Models
- AI Automated Evaluations
- AI Performance Monitoring
- Monitoring and Anomaly Detection
- Unlimited AI RCA Investigations
- Unlimited Custom AI Teammates
- Unlimited Connectors
- Unlimited Workflows
- Unlimited Data Storage
- Unlimited AI Inference
- Intelligent Telemetry Pipelines
- Data Privacy & Security Guardrails
- Role Based Access Controls
- Custom Data and Memory Retention
- Custom Deployment Architectures
- Instant Issue Triage
- Intelligent RCA
- Built-In Data Governance
- Automated Detection
- Reduced Alert Fatigue
- Faster Time to Resolution
- AI-Powered Vulnerability Assessment
- Robust Compliance
- Out-of-the-Box Dashboards
- Deep Environment Visibility
- Sub-Second Query Performance
- Source-Level Pre-Processing
- Cost-Optimized Routing
- Clean Signal Delivery
Use cases
- Incident response
- Root cause analysis
- Alert triage
- Security vulnerability assessment
- Leaked secrets detection
- Suspicious activity monitoring
- Code review
- Ticket management (opening/updating tickets)
- Automating SRE workflows
- Automating DevOps workflows
- Automating security workflows
- Reducing MTTR (Mean Time To Resolution)
- Reducing alert fatigue
- Optimizing observability costs
- Managing log collection, processing, and routing
- Kubernetes observability
- Anomaly detection
- Troubleshooting production issues
- Compliance (SOC 2, GDPR, HIPAA)
- Continuous monitoring
- Data optimization
AI approach
Edge Delta provides AI Teammates (AI agents) for observability, security, and engineering workflows. These AI Teammates leverage external frontier models (Anthropic, OpenAI, Google) and process streaming data at the edge using Edge Delta's Telemetry Pipelines to filter noise, mask sensitive information, and normalize signals. The AI Teammates perform tasks like root cause analysis, alert triage, security vulnerability assessment, code review, and ticket management. They connect to existing telemetry data storage (on-prem, S3, GCS, Azure, private cloud) and query it natively without requiring data movement to Edge Delta's platform. Edge Delta does not use customer data to train its models.
Tech named: Anthropic, OpenAI, Google, ClickHouse
Industries served
- Finance
- Content Management
- Technology & Software
What it says sets it apart
- Agentic AI for observability
- AI Teammates that act across the whole stack
- Ability to store telemetry data in customer's own infrastructure (on-prem, S3, GCS, Azure, private cloud)
- Telemetry Pipelines for edge processing, filtering, and masking sensitive data
- Continuous curation and inference on streaming data sets
- Pre-built and customizable AI Teammates
- Control over AI models used (Anthropic, OpenAI, Google)
- Granular control over data before it reaches models
- RBAC for AI Teammates and human approval for high-risk actions
- Audit logs for all AI actions
- Focus on outcomes rather than plumbing for AI Teammates
- Automated anomaly detection without predefined alert conditions
- Cost optimization through intelligent data routing
- Unified platform for multi-agent collaboration across batched, static, event, and streaming data
This profile was compiled from Edge Delta's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.