Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Bacca.AI: World's best AI site-reliability engineer<br><br>Bacca is an AI-native Site Reliability Engineer (SRE) that cuts incident resolution time in half and ensures you never fight alone during an incident. Trusted by top engineering teams at Snap, Poshmark, Whatnot, Linktree, Seesaw, and more, bacca proactively troubleshoots incoming alerts, streamlines incident handling process, and delivers actionable insights. Bacca is the perfect partner for engineering teams that want to resolve issues faster and build more reliable systems.<br><br>What it does?<br>Bacca.AI acts like a virtual SRE engineer for your organisation - it integrates with your existing alerting and monitoring stack (such as Slack, Datadog, PagerDuty, AWS etc) and begins to triage alerts, contextualise incidents, identify root-causes, coordinate incident response, and deliver actionable post-mortem insights.<br>Specifically:<br>- It enriches incoming alerts with domain-specific context: deduplicating noise, surfacing trends, linking past resolutions, and auto-generating playbooks.<br>- It analyses logs, traces, and metrics to find root causes even before engineers "open their laptops".<br>- It streamlines incident workflows: declares incidents, sets up war-rooms and tasks, tracks progress, and delivers periodic reports highlighting hotspots and failure patterns.<br>- It is designed for large, distributed systems and micro-services architectures - i.e., environments where complexity is high and operational risk is material.
Highlights
Highlighted by the publisher on AWS Marketplace.
Reduced downtime / improved uptime: Bacca.AI help engineering teams reduce incident Mean Time To Resolution (MTTR) by 55%.
Reduced on-call fatigue & manual toil: By automating triage, incident handling and reporting, engineers spend less time firefighting and more time innovating.
Knowledge scale: It captures institutional knowledge, removes silos, and ensures the team doesn't repeatedly fall into the same incident patterns.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
2 listed- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-refundable and non-cancellable except as required by law.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.