You do Innovation.
We do Operations.

AI agents that operate your software products — so your engineers can build what comes next.

Your Product
Bugs, tickets, alerts, releases flow in
memento.
AI agents processing with human oversight
Triaging tickets Patching CVEs Drafting responses Running tests Updating docs Monitoring health Deploying fixes Reviewing PRs Rotating secrets Scaling infra Closing incidents Syncing configs Generating reports Onboarding users Auditing access Resolving alerts
Resolved & Shipped
Fixes merged, tickets closed, reports sent

Sustainment gets harder every year

Products in sustainment mode face compounding risks that traditional staffing can't solve.

Knowledge Drain

Senior engineers leave, taking undocumented expertise with them. Every departure makes the next incident harder to resolve. Post-mortems reference decisions nobody can explain.

Rising Costs

Support tickets pile up, tech debt compounds, and patching cycles slow down — while headcount stays flat or shrinks. The math gets worse every quarter.

Context Loss

New team members spend months rebuilding mental models that existed in a departing engineer's head. Offshore teams lose context faster than they ramp up.

Growth should not mean growing operational cost

As your product portfolio grows, so does the cost of operating it — more tickets, more patches, more incidents, more releases, more knowledge to maintain. Traditional staffing scales linearly. Margins shrink. At some point, the cost curve forces you to look for a different answer.

That's where Memento comes in. From the point of adoption, AI agents absorb the operational load that would otherwise require proportional headcount. The cost curve flattens. Your team stays focused on innovation — whether you're running 2 products or 20.

Cost of Operations vs. Product Portfolio Growth
Memento starts here Without Memento With Memento Cost of Operations Products & Scale
Your cost today Without Memento With Memento

The full stack of software ops, handled for you

Memento's flagship offering. AI agents run your day-to-day software operations end-to-end — support, security, releases, and everything in between.

Full Ops

Complete sustainment-mode operations for your software product — triage, fix, test, release, and monitor in a continuous loop.

Support

Ticket classification, response drafting, escalation routing, and SLA tracking — all grounded in your product's knowledge base.

Security

Continuous vulnerability scanning, CVSS-prioritized patching, and security posture monitoring with remediation tracking.

Release Management

Maintenance releases, hotfixes, and dependency updates with change-window integration and full audit trails.

Keep your infrastructure running smoothly

From CI/CD pipelines to cloud cost optimization — automated infrastructure management with built-in quality gates.

Infrastructure / DevOps

Infrastructure monitoring, IaC drift detection, CI/CD pipeline maintenance, and cloud cost optimization.

Quality Assurance

Automated test generation, regression testing, test gap analysis, and QA reporting integrated into your release cycle.

Stay compliant, stay documented

Automated evidence collection, audit-ready documentation, and living knowledge bases that keep your organization aligned.

Compliance & Certification

Automated evidence collection, gap analysis, and audit-ready documentation for SOC 2, ISO 27001, HIPAA, and more.

Knowledge Management

Living knowledge bases built from code, docs, tickets, and incidents. Auto-generated runbooks and architecture documentation.

Delight customers, automate the rest

AI-powered customer service and workflow automation that scales with your business.

Customer Service

AI-powered customer support with human escalation paths. Response drafting, sentiment analysis, and satisfaction tracking.

General Automation

Repetitive workflows automated with AI agents — data migration, report generation, integration syncing, and more.

Trust is earned through evidence, not slides

Every engagement follows a structured three-phase onboarding. We prove it works before you commit.

Phase 1

Absorb

14 days · Read-only

The platform connects to your systems and builds a complete Product Digital Twin — a synchronized model of your source code, architecture, dependencies, ticket history, release patterns, and team context. Nothing is written. The platform learns.

Nothing changes
Phase 2

Shadow

30 days · Draft mode

Agents operate in full, but every action is held for human comparison against your team's real work. Quality is measured with composite scores you can inspect.

Nothing goes live
Phase 3

Operate

Ongoing · Human oversight

Agents handle operations with human approval gates on every consequential action. The Digital Twin stays current through continuous sync — every commit, ticket update, and deployment feeds back in. No hallucination. No context gaps.

You stay in control
Human Operator + AI Agent = Outcome

The Product Digital Twin

A complete model of your product — always current

Every agent decision is grounded in a live model of your product. No hallucination. No context gaps.

Source code, file structure, components
Architecture graph, subsystems, dependencies
Support tickets, resolution patterns, escalations
Pull requests, code reviews, merge history
Releases, deployments, CI/CD pipelines
Documentation, runbooks, knowledge articles
Monitoring baselines, incident history
Product Digital Twin

Works with your stack, whatever it looks like

47 programming languages · 45 tool integrations · growing

Python Java TypeScript JavaScript Go Ruby Rust C# C++ C Kotlin Scala Swift PHP Perl Elixir Haskell OCaml Julia Zig Odin Ada Fortran Objective-C Groovy Lua Bash PowerShell Common Lisp Dart R Clojure Erlang Verilog VHDL SQL HCL / Terraform COBOL RPG JCL PL/I REXX Natural / ADABAS Python Java TypeScript JavaScript Go Ruby Rust C# C++ C Kotlin Scala Swift PHP Perl Elixir Haskell OCaml Julia Zig Odin Ada Fortran Objective-C Groovy Lua Bash PowerShell Common Lisp Dart R Clojure Erlang Verilog VHDL SQL HCL / Terraform COBOL RPG JCL PL/I REXX Natural / ADABAS
GitHub GitLab Bitbucket Azure DevOps Jira Confluence Notion SharePoint Grafana Datadog PagerDuty Coralogix Elasticsearch Splunk CloudWatch Azure Monitor Slack Microsoft Teams Zendesk ServiceNow Jenkins GitHub GitLab Bitbucket Azure DevOps Jira Confluence Notion SharePoint Grafana Datadog PagerDuty Coralogix Elasticsearch Splunk CloudWatch Azure Monitor Slack Microsoft Teams Zendesk ServiceNow Jenkins
Sentry LogRocket OWASP ZAP Asana Bugzilla BetterStack Ahrefs SEMrush Screaming Frog Gravity Forms Microsoft Clarity FullStory Contentsquare Cloudinary HubSpot Salesforce ActiveCampaign Klaviyo Mailchimp Google Ads Meta Ads LinkedIn Ads Sentry LogRocket OWASP ZAP Asana Bugzilla BetterStack Ahrefs SEMrush Screaming Frog Gravity Forms Microsoft Clarity FullStory Contentsquare Cloudinary HubSpot Salesforce ActiveCampaign Klaviyo Mailchimp Google Ads Meta Ads LinkedIn Ads

Built for the first conversation with your CISO

We built Memento knowing that the first conversation with your CISO determines whether there is a second one.

Physical Tenant Isolation

Every customer gets a dedicated database instance and compute namespace. There is no shared data layer. Another customer's data is not in your database — period.

Zero Credential Exposure

Authentication tokens are handled by infrastructure, never exposed to agent reasoning contexts. Four layers of defense-in-depth enforce this invariant.

Human Approval Gates

No agent writes to your ticketing system, repository, or communication channel without human approval. Every external action is gated.

Instant Kill Switch

One click stops all agent activity instantly. No cooldown, no delay, no negotiation.

Full Audit Trail

Every agent action, every approval decision, every data access is logged, traceable, and exportable. SOC 2 Type II and ISO 27001 ready.

Data Sovereignty

Your data stays in your region. Full data portability — everything leaves with you if you go. No lock-in on your operational knowledge.

See Memento on your codebase

Schedule a 30-minute technical walkthrough. We'll show you the platform running against a real product, with live agent outputs you can inspect.

Schedule a Walkthrough