Start With the Problem
You Have Today.

Cut Observability Costs Without Losing Detail

Per-host and per-custom-metric pricing grows with every new service and label. Teams respond by sampling traces and dropping labels like tenant ID, which are exactly what they need during an incident.

Target: 60%+ lower observability spend than per-host SaaS pricing, validated during a pilot.

How it works

• Instrument once with OpenTelemetry, so you are not locked into a vendor agent.
• Buffer OTLP data in Kafka and store it in ClickHouse, where cardinality costs storage you size yourself.
• Set retention per data type with TTLs: for example, raw spans for 14 days and aggregated metrics for 13 months.
• Keep Grafana dashboards working through the Prometheus and ClickHouse integrations.

Get Control of Machine Identities

Service accounts, API tokens, CI/CD credentials, and now AI agents outnumber people in most environments, and few of them have an owner, an expiry date, or a recent review.

A complete, owned inventory of machine identities, with evidence for PCI DSS 8.6 and SOC 2 CC6.

How it works

• Inventory service accounts, tokens, and CI runners across cloud accounts and repositories.
• Flag credentials that are unused, over-privileged, hard-coded, or past their rotation date.
• Automate rotation, and block new secrets in pull requests before they merge.
• Put runtime policy in front of every tool an AI agent can call.

Deploy AI Assistants You Can Audit

Teams want AI assistants over internal documentation, but cannot send that data to public services or accept answers nobody can check.

AI answers that link to their sources, with data that never leaves your environment.

How it works

• Run MITHUNAI in your VPC or data center and route sensitive prompts to models you host.
• Answer from approved sources only, with a citation on every claim.
• Strip personal data and secrets from prompts before they reach any model.
• Embed the assistant in your intranet, help center, or product with the web widget.

Make Audits a Non-Event

Evidence is gathered by hand in the weeks before each audit, then goes stale. Every new framework means doing it again.

Target: 4x faster audit preparation, with evidence that is current all year.

How it works

• Connect cloud, code, and identity systems so evidence is collected on a schedule.
• Map each piece of evidence to every framework it satisfies.
• Let agents and pipelines collect evidence and draft policies through MCP tools, with people approving changes.
• Give auditors read-only access to the evidence and its history.