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Edge Delta vs Resolve AI.
How Edge Delta's AI Teammates compare with Resolve AI's investigation agents, category by category.
Last updated October 2, 2026
The short version
Edge Delta and Resolve AI approach AI incident response from different layers of the stack. Edge Delta is the immune system for your production: AI Teammates detect, investigate, and remediate incidents with evidence, approval-gated actions, verified fixes, and a memory of what happened last time. Resolve AI is a multi-agent system that connects to the observability and infrastructure tools you already run, investigates alerts as they fire, and runs background agents on schedules and deploy events.
Most of the table below follows from that layer difference. Resolve AI reasons from the outside, querying what your observability backends have ingested, and starts when an alert fires or when a background agent wakes on its schedule or trigger. Edge Delta's AI Teammates apply intelligence to every stage of the telemetry journey, detecting issues as data is produced, investigating and acting on it, verifying the fix, and remembering the incident in Production Memory, from source to backend and everything in between. Buying differs too: Edge Delta publishes a public price with a self-serve trial, while Resolve AI bills credits at rates set in each customer's contract.
Resolve AI capability and pricing descriptions on this page come from Resolve's documentation, product pages, pricing page, and blog, checked again on October 2, 2026 and linked at the bottom. If something has changed, tell us and we will update it.
The loop
How much of the incident each one runs on its own.
| Stage | Edge Delta | Resolve AI |
|---|---|---|
| detect | Autonomous | Autonomous |
| investigate | Autonomous | Autonomous |
| reason | Autonomous | Autonomous |
| act | Autonomous with guardrails | Autonomous with guardrails |
| verify | Autonomous | Not documented |
| learn | Autonomous | Autonomous |
How an investigation starts
Investigations that can start before anyone is paged
 |  | |
|---|---|---|
| Trigger model | ✓Teammates begin when learned baselines shift on live telemetry, often before anyone is paged; monitors and chat requests also start investigations | ✓Investigates alerts from PagerDuty and other alerting tools as they fire; background agents also wake on a schedule, on events such as a deploy, or on a Slack message |
| Detection | ✓Anomaly detection runs continuously on logs, metrics, traces, and events as they stream, not on a fixed polling interval | ○Background agents watch deploys and run scheduled health checks, flagging regressions against a baseline before an alert fires; the telemetry itself is read by querying the observability tools you already run |
Edge Delta treats detection as the first step of the same loop. Baselines are learned from your own traffic, so an investigation can begin before a page goes out.
Investigation and root cause
Root cause delivered with its evidence
| | |
|---|---|---|
| Method | ✓Gathers and correlates evidence across telemetry, deployments, and change history, then delivers a root cause with the evidence attached | ✓Pursues multiple hypotheses in parallel and validates each against evidence from the tools it connects to |
| System understanding | ✓A Knowledge Graph of services, dependencies, deployments, teams, and incidents, built from live telemetry and queryable mid-investigation for an issue's blast radius, criticality, and owning team | ✓A shared model of production it calls HiveMind, holding current state, alerts, recent changes, and team knowledge; an optional in-cluster Satellite maps Kubernetes resources and service dependencies |
Edge Delta attaches the evidence trail to every conclusion and runs the investigation in-stream, on telemetry no backend had to index first.
Working with what you already run
Works with the backend you already have
| | |
|---|---|---|
| Third-party reach | ✓Already connects to your existing tools and backends over MCP, so nothing needs to move into one platform first | ○Queries your observability backends and tools through 60+ integrations, with an optional in-cluster Satellite for private systems; sees what those backends have ingested and indexed |
| Backend flexibility | ✓Works with whatever backend you run today, Datadog, Splunk, Elastic, or object storage, without requiring a migration first | ✓Connects to observability, cloud, Kubernetes, CI/CD, database, and code tools through its integrations |
| Cost of context | ✓Context does not require full ingest into a backend; irrelevant data is filtered out before any bill | ○Investigation depth depends on what you already pay to ingest, index, and retain in the tools it queries |
Edge Delta works with whatever backend you already run, which is why detection can precede alerts and why full context does not depend on a full-fidelity ingest bill.
Taking action
Every action crosses an approval gate
| | |
|---|---|---|
| Action gating | ✓Every write crosses an approval gate: chat actions are approved action by action, scheduled work runs pre-approved playbooks, and rollback paths are written before changes ship | ✓Proposes alert silences, pull requests, and, in Preview, GitHub Actions runs; its documentation says every action requires explicit human approval before it runs, and Resolve never merges its own pull requests |
Edge Delta starts at Propose, drafting changes that wait for your approval, and treats autonomy as earned: increments you approve, can audit, and can revoke, with a rollback path written before any change ships.
Verification and learning
Fixes verified by telemetry, incidents remembered
| | |
|---|---|---|
| Post-fix verification | ✓Fixes are verified against before-and-after telemetry, and regressions are flagged | ○A verifier agent checks findings against production evidence during the investigation, and background agents can run post-deploy checks; confirming that a fix resolved the original incident is not documented as of October 2026 |
| Memory across incidents | ✓Every incident is recorded in Production Memory, so the next investigation starts with organizational context | ✓Captures team knowledge from chats, incidents, runbooks, and feedback, and turns engineer corrections into reusable knowledge, per Resolve's docs and product pages |
Verification is where the two part ways. Edge Delta treats a fix as unproven until the telemetry confirms it, and that check is a documented step of its loop.
Coverage across teams
One production context for every team
| | |
|---|---|---|
| Agent lineup | ✓SRE, Security Engineer, Software Engineer, and Work Tracker teammates work from one shared Production Context | ○Agents for on-call, incidents, and operational tasks, plus custom agents built on Resolve; for code, it gives production context to coding agents such as Claude Code, Codex, and Cursor, and no security agent is positioned as of October 2026 |
Edge Delta spreads one shared Production Context across roles, so what the SRE teammate learned during an incident is already there when the Security Engineer or Software Engineer teammate picks up the follow-on work.
Pricing
A public price against a sales quote
| | |
|---|---|---|
| Getting started | ✓Free 14-day trial with full access to teammates, connectors, and evaluations; no credit card required | ○Sign-up opens a Playground on an example environment, and the site's Try now button opens a demo request; usage is billed in credits against your contract, as of October 2026 |
| Published pricing | ✓Pro starts at $20 per month with $20 of credits included, billed monthly with no annual commitment; investigations, inference, and storage draw from credits under a monthly spending cap you set | ○Credits for each chat, triage, investigation, incident, and background task, at rates set in your contract, with monthly caps on automated work; no public rates as of October 2026 |
Resolve AI bills in credits at rates set in each customer's contract and publishes no rates. Both sides of this table come from the vendors' public pages, October 2026.
The verdict
When each one is the right choice.
Choose Edge Delta when
- You want issues surfaced and investigated before a page goes out, from baselines learned on your own traffic
- Telemetry bills matter: relevant data is kept and the rest is filtered out before any backend charges for it
- You need fixes verified against before-and-after telemetry, incidents remembered in Production Memory, and security and software engineering coverage alongside SRE
- You want public pricing and a hard spending cap: a free 14-day trial, then from $20 per month
Choose Resolve AI when
- Your observability stack stays exactly as it is and you want an investigation layer on top of it
- A sales-led purchase with credit rates set in a contract fits how your team buys
- Parallel-hypothesis investigation across the observability, cloud, CI/CD, database, and code tools you already run is the capability you value most
- You want background agents that watch deploys and run scheduled checks through the tools you already have
Questions
Frequently asked questions.
Is Resolve AI an AI SRE?
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Yes. Resolve AI is an AI SRE: multi-agent investigation running on top of your existing tools, a shared model of production it calls HiveMind, and actions that wait for a person's approval. Edge Delta applies intelligence across the telemetry journey: its teammates detect from learned baselines before alerts fire, verify fixes against before-and-after telemetry, and record every incident in Production Memory.
What is the main difference between Edge Delta and Resolve AI?
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The main difference is how much of the telemetry journey each product covers. Resolve AI connects to your observability backends and tools through integrations and reasons over what they have ingested, and its background agents watch deploys and run scheduled checks through those same tools. Edge Delta's AI Teammates apply intelligence across the whole journey: detection comes from baselines the system learned from your traffic, often before alerts fire, and the loop continues through approval-gated action, verified fixes, and Production Memory.
How does pricing compare between Edge Delta and Resolve AI?
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Edge Delta's pricing is public: a free 14-day trial with no credit card, then the Pro plan starting at $20 per month with $20 of credits included, unlimited agents and connectors, and a monthly spending cap, billed monthly with no annual commitment. Resolve AI bills in credits for each chat, triage, investigation, incident, and background task, at rates set in each customer's contract; it publishes no rates, and the Try now button on its site opens a demo request. Figures come from both vendors' public pages, October 2026.
Do Edge Delta or Resolve AI replace my observability stack?
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Neither one requires ripping anything out. Resolve AI adds an investigation layer on top of the tools you keep. Edge Delta connects to whatever backend you already run, and its teammates investigate, act, verify, and learn alongside it; many teams also use Edge Delta to filter what the backend ingests, which lowers that bill.