Aneryth

aneryth.intelligence_layer

Engineering intelligence for systems too complex to understand manually

Aneryth builds a live intelligence layer across your code, infrastructure, documentation and production environment. Analyse change impact, execute migrations, investigate incidents and deliver verified engineering outcomes.

Built for organisations running complex software estates

Meridian SystemsNordhaven BankCobalt HealthVector LogisticsAtlas Retail GroupHelio Energy

platform.overview

Your software estate, understood as one connected system

Code alone does not explain how a business operates. Aneryth connects repositories, APIs, infrastructure, data, documentation, incidents and engineering ownership into a continuously updated intelligence model.

01

Connect

Aneryth ingests repositories, infrastructure, documentation, tickets, telemetry and deployment history through read-scoped integrations.

02

Model

A continuously updated knowledge graph links services, APIs, data models, dependencies, ownership, decisions and production behaviour.

03

Reason

Every analysis and agentic task runs with full organisational context — not isolated files, but the system as it actually behaves.

04

Verify

Work is validated against tests, security policies, performance requirements and acceptance criteria, then presented for human approval with evidence attached.

products.capabilities

One platform. Four high-value engineering capabilities.

verification.evidence

AI-generated work should come with evidence

Every Aneryth task can be validated against tests, security policies, performance requirements and acceptance criteria before it reaches production.

aneryth analyse pr-4187

Change: customer-status enum → billing-core/src/models/customer.ts

Impact radius: 14 services · 3 dashboards · invoicing pipeline

External contracts affected: 2 partner integrations

Missing coverage: 5 required tests not present

Suggested reviewers: @billing-platform, @integrations

Full dependency trace attached as evidence

aneryth task verify TASK-3310

Task: upgrade log4j across 9 services

✓ Tests pass — 2,731 / 2,731

✓ Security scans pass — 0 new findings

✓ Performance — no regression (p99 within 1.2%)

✓ Human approval — j.keller@acme approved

Outcome verified. 340 credits consumed.

platform.integrations

Connected to the systems you already run

Source control, project management, documentation, cloud infrastructure, observability, databases, CI/CD, communication and security tooling.

GitHub
GitLab
Jira
Linear
Confluence
AWS
Kubernetes
Datadog
Sentry
PostgreSQL
GitHub Actions
Slack

platform.security

Enterprise security and governance from day one

Designed for SOC 2 and ISO 27001, GDPR-aligned, with EU AI Act readiness on the roadmap.

Encryption in transit and at rest
Role-based access control & audit logs
SSO and SCIM provisioning
Private cloud, VPC or on-premise deployment
No customer data used for public model training
Human approval controls on every agentic action

pricing.credits

Pay for engineering intelligence, not tokens

Aneryth Credits are used for measurable engineering tasks, from impact analyses to verified software changes and full migration work packages.

Example credit costs per task
Engineering taskCredits
Repository impact scan10–30
Pull-request impact analysis5–20
Deep architectural analysis100–500
Incident investigation100–1,000
Verified bug fix200–2,000
Dependency upgrade100–1,500
Migration assessment500–5,000
Migrated & verified componentCustom

Developer

500 credits / month

$499/mo

Team

3,000 credits / month

$2,500/mo

Scale

15,000 credits / month

$10,000/mo

Compare plans & estimate credits

solutions.use_cases

Built for the people accountable for complex systems

CTOs & CIOs

Prove that AI-generated changes are safe before they reach production.

Platform engineering

Execute estate-wide upgrades as verified work packages.

SRE & DevOps

Cut mean time to resolution with cross-system incident investigation.

Migration programmes

Compress multi-year modernisation into controlled AI-assisted stages.

PE & M&A teams

Map acquired estates in days and de-risk integration.

Architecture teams

Catch standards drift and hidden dependencies before they ship.

Turn your software estate into an intelligent system

Connect your engineering environment and start making faster, safer and more informed technical decisions.