Corelayer
Also known as: Sevvy AI
AI-native production support and AI SRE platform for regulated, industries whose agents monitor infrastructure and underlying data, root-cause incidents with cited evidence in minutes, and feed production context to coding agents.
Corelayer is a San Francisco company (YC Winter 2026, legal entity Sevvy AI, Inc., founded 2025 by Mitch Radhuber and Shipra Jha, who built data infrastructure at Goldman Sachs) building an AI-native production support platform, or AI SRE, for regulated industries like finance, fintech, healthcare, and insurance. Its agents continuously monitor alerts, logs, infrastructure, and the underlying data itself for anomalies, including silent failures that traditional observability tools miss, then debug by tracing anomalies back through pipelines, correlating with infrastructure events and recent deploys, and surfacing a root-cause hypothesis with cited evidence in minutes. A proprietary deep research agent, the Production Cortex, maps the full system and data flows to give investigation agents rich context, sub-agents filter false positives and semantically group related issues by business impact and blast radius, and corelayer preflight feeds coding agents production context like learned failure modes and downstream dependencies before deploys. Built for regulated environments, it offers read-only fine-grained access, PII detection and masking, zero-data retention by default, BYOC and on-prem deployment, and confidential compute, is SOC 2 Type I compliant, and exposes an audit trail of each agent step with citations. The company reports handling over one million production error events.
Vendor details
Canonical URL
https://www.corelayer.com
Category
Enterprise operations agent
Funding status
Private, seed stage. Founded 2025 in San Francisco by Mitch Radhuber and Shipra Jha (legal entity Sevvy AI, Inc.); Y Combinator Winter 2026 batch. Founders previously built data infrastructure at Goldman Sachs.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects across the stack including AWS, Google Cloud Platform, Snowflake, Cloudflare, Apache Airflow, Astronomer, dbt, GitHub, Slack, Microsoft Teams, ClickHouse, Sentry, incident.io, Datadog, PostgreSQL, Vercel, and PlanetScale, and feeds production context to coding agents via corelayer preflight.
Sources & related URLs
Related / legacy domains
Capability coverage
10.0 / 14 capabilities · 71%
| Integrations & Tool CallingExtensive integrations across AWS, GCP, Snowflake, Datadog, GitHub, Slack, Sentry, Airflow, dbt, and many more, plus coding-agent context via preflight (everydev.ai, corelayer.com). | Full |
|---|---|
| Workflow OrchestrationAgents run end-to-end investigations, trace anomalies through pipelines, correlate with deploys, and coordinate sub-agents for filtering and grouping (corelayer.com, startuphub.ai). | Full |
| Knowledge Grounding & RAGA Production Cortex context graph maps system and data flows and grounds investigations, with source citations to logs and code (startuphub.ai, everydev.ai). | Full |
| Human Oversight & GuardrailsEngineers validate, correct, or continue agent investigations, and feedback trains the system on each environment (hiretop.com, corelayer.com). | Full |
| Security, Identity & GovernanceSOC 2 Type I, read-only fine-grained access, PII detection and masking, zero-data retention by default, and confidential compute (everydev.ai, ycombinator.com). | Full |
| Observability & AuditabilityAn audit trail of each agent step with citations and direct links to logs and code for validation (ycombinator.com, everydev.ai). | Full |
| Memory & State PersistenceLearns from engineer feedback and improves pattern matching per environment and the context graph persists system knowledge; no first-class agent memory framework documented (startuphub.ai, hiretop.com). | Partial |
| Deployment & Data ResidencyCorelayer cloud, BYOC, on-prem, and confidential compute deployment options (corelayer.com, everydev.ai). | Full |
| Prebuilt Agents / Templates / PacksSpecialized sub-agents for detection, grouping, and preflight plus a deep research agent; not a broad prebuilt agent marketplace (corelayer.com, startuphub.ai). | Partial |
| Triggers & Channel CoverageContinuous monitoring of logs, metrics, and data automatically starts background investigations on anomalies (everydev.ai, corelayer.com). | Full |
| Model Flexibility & RoutingNo user-facing model choice or routing documented (corelayer.com). | Unable to verify |
| APIs / SDKs / MCP ExtensibilityDocumented integrations and a preflight hook for coding agents; no fully documented public developer API or SDK (corelayer.com, everydev.ai). | Partial |
| Testing, Debugging & OptimizationAn ROI calculator and cited, validatable investigations support evaluation; no dedicated agent evaluation suite documented (yctierlist.com, corelayer.com). | Partial |
| Browser / Computer-useNo browser or computer use is documented (corelayer.com). | Unable to verify |
Pricing
No public pricing; demo-led enterprise sales, with an on-site ROI calculator to estimate savings on production-support costs.
Not published; enterprise production-support platform.
Cost watchouts
Regulated-industry deployment (on-prem, confidential compute, BYOC) and data volume drive contract size; none of these rates are published.
Variable cost rationale
Contract size scales with production error volume, deployment model, and data sensitivity requirements, and no rates are published.
Overage / add-ons
Not published.
Sales call required
Yes — required for paid access
Free / trial
No free tier documented; entry is via demo, with sign-in indicating live users.
Lowest paid plan
Not published.
Key ambiguities
No pricing model or rates are published; only an ROI calculator and demo CTA.
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