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Edge Delta

Also known as: AI Teammates, OnCall AI

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Enterprise operations agentindependentVerified 2026-07-08

Agentic observability platform whose AI Teammates, coordinated by the OnCall AI super agent, autonomously triage alerts, run root cause analysis, review code and PRs, and file tickets across SRE, security, and DevOps work, grounded in real time telemetry.

Edge Delta is a Seattle observability company founded by CEO Ozan Unlu, a Microsoft and Sumo Logic alum, that built its name on intelligent Telemetry Pipelines which filter, enrich, and route logs, metrics, and traces starting at the edge before data floods downstream tools. The company was recognized as a Gartner Cool Vendor in Monitoring and Observability, counts Fortune 1000 customers on its pipeline foundation, and in October 2025 shipped the largest release in its history: AI Teammates, a coordinated set of role aware AI agents that work across telemetry data, tools, and workflows.

AI Teammates are autonomous agents that take on specific engineering jobs rather than waiting for prompts. Out of the box specialists include an AI SRE that begins investigating the moment an alert fires so root cause, evidence, and timeline are ready before an engineer looks, an AI Security Engineer reviewing every PR and monitoring for suspicious activity, an AI Software Engineer proposing targeted fixes, an AI Work Tracker keeping tickets in sync, plus DevOps and Cloud Engineer roles, all coordinated by OnCall AI, a super agent handling routing, task assignment, and handoffs. Teammates share threads with approval gates: they are read only by default, always ask before any write action such as a restart or rollback, and log every step to a full audit trail. The platform is model agnostic across Anthropic, OpenAI, and Google, connects through more than forty integrations plus the Edge Delta MCP connector and custom remote MCP servers, and in April 2026 the company made Telemetry Pipelines free at any scale, billing only stored data and AI tokens through a credits system.

Edge Delta fits SRE, security, and platform teams drowning in alert noise who want investigation work done before a human engages, particularly shops already rethinking telemetry cost. It is a weaker fit for buyers needing self hosted deployment of the full platform or documented data residency options, which the retrieved pages do not describe as first class.

Vendor details

Canonical URL

https://edgedelta.com

Category

Enterprise operations agent

Subcategory

Agentic observability and AI SRE platform

Funding status

Independent, headquartered in Seattle, founded by CEO Ozan Unlu, a Microsoft and Sumo Logic alum. Crunchbase data supplied with this batch lists a Series B in May 2022. The company reports Fortune 1000 customers on its telemetry pipeline foundation and was recognized as a Gartner Cool Vendor in Monitoring and Observability.

Company status

independent

Use cases & customers

Primary use cases

Autonomous alert triage and root cause analysisContinuous PR review for vulnerabilities and code qualityCross cloud incident investigation and coordinationAutomated ticket creation and work tracking

Target customers

SRE and platform engineering teamsSecurity engineering teamsDevOps teams in multi cloud environmentsEnterprises with large telemetry volumes

Deployment options

Cloud

Integrations

More than forty connectors spanning AWS, Azure, and Google Cloud, development tooling like GitHub, Jenkins, and CircleCI, incident and project management through PagerDuty, Jira, and Linear, collaboration in Slack and Microsoft Teams, and data platforms from Databricks to Kafka. The Edge Delta MCP connector gives teammates full observability platform access, and custom remote MCP servers extend reach further.

In practice

An alert fires at two in the morning. The AI SRE groups related alerts, correlates telemetry with recent merges, config changes, and deploys, and has the likely root cause, evidence, and timeline documented before the on call engineer opens a laptop.

A security team cannot review every pull request. The AI Security Engineer reviews each PR as it opens for vulnerabilities, monitors the environment around the clock, and escalates only what deserves human eyes.

Incidents resolve but the paper trail lags. The AI Work Tracker watches alerts, findings, and incidents, opens or updates tickets nobody else filed, and links each back to its source for audits.

Capability coverage

12.0 / 14 capabilities · 86%

Integrations & Tool CallingMore than forty connectors across AWS, Azure, GCP, GitHub, Jenkins, CircleCI, PagerDuty, Jira, Linear, Slack, Teams, Databricks, and Kafka, plus a tooling catalog of permissioned actions for queries, rollbacks, tickets, and PR scaffolding, docs.edgedelta.com AI Team overview and launch blog retrieved 2026-07-08 Full
Workflow OrchestrationOnCall AI super agent handles context routing, task assignment, de-duplication, and handoffs across teammates, coordinating multi teammate workflows with scripted actions and scheduled periodic tasks, launch blog and specialized teammates docs retrieved 2026-07-08 Full
Knowledge Grounding & RAGTeammates are powered by the customer's observability data through Telemetry Pipelines that shape data before it reaches any model, with historical baselines and pattern discovery grounding every investigation, launch blog and April 2026 announcement retrieved 2026-07-08 Full
Human Oversight & GuardrailsTeammates are read only by default and always ask for approval before any write action, with threads providing human in the loop gates for risky operations like restarts and rollbacks, edgedelta.com homepage FAQ and launch blog retrieved 2026-07-08 Full
Security, Identity & GovernanceSOC 2 Type II attested with RBAC, per agent scopes, rate limits, encryption in transit and at rest, encrypted connector credentials, and SSO and SAML included, launch blogs and homepage FAQ retrieved 2026-07-08 Full
Observability & AuditabilityEvery agent action is logged for auditability with a full audit log of every agent step, plus a performance page monitoring teammate scores, response times, and token usage, homepage FAQ, launch blog, and docs retrieved 2026-07-08 Full
Memory & State PersistenceTeammates carry agentic context and memories with historical baselines, learn from past behavior what normal looks like across services, and threads capture full history for handoffs, April 2026 announcement and product pages retrieved 2026-07-08 Full
Deployment & Data ResidencyEdge processing analyzes and filters data at the source before it moves downstream, and pipelines let customers control what data reaches any AI model, but self hosting the full platform or documented residency options are not described first class on retrieved official pages, founder blog and docs retrieved 2026-07-08 Partial
Prebuilt Agents, Templates & PacksShips out of the box specialized teammates including AI SRE, Security Engineer, Software Engineer, Work Tracker, DevOps Engineer, and Cloud Engineer, each with production ready system prompts encoding operational best practices, specialized teammates docs retrieved 2026-07-08 Full
Triggers & Channel CoverageInvestigations start the moment an alert or anomaly appears with no acknowledgement needed, event connectors listen to systems like GitHub and PagerDuty, and periodic tasks schedule recurring checks, April 2026 announcement and docs retrieved 2026-07-08 Full
Model Flexibility & RoutingThe platform is model agnostic across Anthropic, OpenAI, and Google with the ability to switch models, attach a distinct foundation model per teammate, and stay on latest releases through a maintained catalog, launch blog, docs, and homepage retrieved 2026-07-08 Full
APIs, SDKs & MCP ExtensibilityThe Edge Delta MCP connector bridges teammates to the full platform, custom remote MCP servers are supported, and custom teammates can be built with defined system prompts, connector scopes, and scripted actions, MCP connector docs and AI Team overview retrieved 2026-07-08 Full
Testing, Debugging & OptimizationA performance page monitors teammate scores, response times, and token usage, and anomaly detection uses machine learning against baselines, but a first class agent testing and optimization suite is not documented, docs.edgedelta.com retrieved 2026-07-08 Partial
Browser & Computer UseNo browser or computer use capability is described on retrieved pages, edgedelta.com and docs retrieved 2026-07-08 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Free to start with no credit card; paid plans bill on data stored and AI tokens through a credits system, with full rate cards not published on retrieved pages

data stored in the platform plus AI tokens consumed, managed through a credits system with monthly allocations

Public — partialHigh variable costFree tier

What is public

The model is public: Telemetry Pipelines are free at any scale with no per gigabyte or seat fees as of April 2026, and paid plans bill stored data plus AI tokens through credits. Plans include monthly credit allocations, additional credits can be purchased, and Enterprise carries custom allocations. Specific dollar rates per credit or per stored gigabyte were not retrievable from the pages fetched.

Billing mechanics

Plans are token based per the company docs, tracking AI token usage rather than data volume, with a plan page showing subscription details, credit allocation, and token spending. Automatic credit purchases can be enabled with an increment amount and a monthly spend cap. Enterprise customers get custom credit allocations and pricing through sales.

Cost watchouts

AI token consumption is the open ended axis: always on teammates investigating every alert consume tokens continuously, so noisy environments spend faster. Stored data volume is the second axis, though pipelines can filter noise upstream to reduce it.

Variable cost rationale

Since April 2026 pipeline throughput is free at any scale with no seat fees, so cost concentrates entirely in stored data volume and AI token consumption, both of which scale with workload and agent activity. The docs describe monthly credit allocations with automatic credit purchases and configurable spend caps, which is the mechanism to contain that exposure.

Additional watchouts

An October 2025 dated pricing page listed AI Teammates at twenty dollars per user per month, while the April 2026 announcement states there are no seat fees under the new model, so confirm which structure applies to your contract date. Model choice affects token economics since teammates can run on different foundation models.

Sales call required

Mixed (some tiers require a call)

Free / trial

Start for free with no credit card required, with SSO and SAML included

Key ambiguities

Whether the twenty dollars per user per month AI Teammates plan shown on an October 2025 dated pricing page still exists after the April 2026 shift to a no seat fee, credits based model.

Missing data

No published per credit dollar rate, per gigabyte storage rate, or Enterprise minimums were retrievable from fetched pages.

Verified 2026-07-08

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