Who it is for·AI and data consulting firms and systems integrators delivering agentic AI to enterprise clients
You deliver enterprise agentic AI. That should not make you your client's runtime team.
You set the governance, the access model and the integration into the client's IT. Molted runs the layer underneath: isolated agent environments per client, deployable on their own infrastructure, self-healing, and billable by you as managed agent ops.
Your firm sells AI, data and automation programs to enterprises: you scope the workflows, wire the agents into the client's systems, set the governance model, the roles and the access rules, and hand back something the business can actually own. Then the program goes live and someone has to keep hundreds of autonomous agents alive against real ERPs, claims systems and inboxes, 24/7. That last part is not what you were hired for, it is running a platform, and it quietly eats the margin on every engagement. Molted is the layer underneath: a production-grade agent runtime you standardize on across clients, deploy on their own infrastructure when compliance demands it, and resell as a recurring managed service. Governance, access model and integration into the client's IT stay yours, because that is the work they are paying you for.
The reality today
The pilot wins the deal, then production hands you an ops contract
A workflow agent that clears a demo on ten invoices is a different animal from two hundred agents running every day against the client's ERP, claims queue and shared mailboxes. Someone has to catch the crash at 3am, restore a corrupted state, explain what the agent changed and keep versions consistent across business units. That work is not on your statement of work, it is not billable at your delivery rate, and it lands on the same senior people you needed on the next engagement.
The security review decides the deal, and infrastructure is the answer you don't have
Enterprise infosec and procurement will ask where the agents run, who holds the credentials, whether anything leaves the datacenter, which region the state lives in, and whether it can run air-gapped. If the answer is a bespoke setup you assembled per client, the review drags for months. Regulated buyers in financial services, healthcare and manufacturing stall exactly there, and the program slips a quarter before a single agent goes live.
Every engagement is bespoke, so delivery never compounds
One client is on Azure, the next on AWS, the third insists on their own datacenter. You rebuild the same runtime, the same credential handling, the same integration plumbing each time, and none of it becomes an asset you resell. The valuable part of your work, the governance model, the access rules, the mapping onto the client's systems, gets buried under infrastructure nobody believes they are paying for, and your practice scales by hiring engineers instead of by repeating a delivery pattern.
The problem at scale
One agent
Easy to babysit.
A fleet, by hand
How Molted helps
A clean line: you own the client, we own the runtime
Molted does not do your job. Governance, the access model, SSO and role design, mapping agents onto the client's processes and systems, running the change management: that is your engagement and your margin, and it stays entirely with you. Molted owns one thing, the layer where the agents actually run: compute, isolation, recovery, versioned state and the integration surface. Nothing in Molted competes with the work the client hired you for, and nothing in your delivery has to include a platform you did not want to build.
One runtime you standardize every engagement on
Each client, and each business unit inside a client, gets an isolated instance: its own pinned agent version, its own scoped connections, its own versioned filesystem. Agents run on bare pods that never crashloop, behind a daemon that survives the agent itself dying, with corrupted configs auto-repaired. The delivery pattern you build on the first program is the same one you run on the tenth, so your practice compounds instead of restarting.
Deploy where the security review says you have to
Three deployment models with no change to how you deliver: Managed on Molted clusters, On-Premise on the client's own infrastructure and air-gapped if needed, or a Swiss cluster for data sovereignty. Credentials are AES-256-GCM encrypted at rest, connections are scoped per instance, and the versioned filesystem gives you a file-level record of what every agent changed. The infosec questionnaire stops being the thing that delays your program.
Sell managed agent ops without building an SRE bench
4-tier self-healing (in-pod restart, pod recreation, known-good restore, critical alert) catches crashes in under 60s and brings agents back in under 90s, with a full post-mortem on every failure. Point-in-time restore hot-reloads the running instance, so a bad agent state is a rollback rather than an incident, even after a delete. One API and one dashboard cover the whole fleet across clients, so the ongoing agent operations line on your proposal becomes recurring margin instead of unbilled on-call.
The integration surface enterprise workflows actually need
Agents get 1,000+ app integrations from day one, Gmail, Slack, HubSpot, Salesforce, Notion, Stripe, GitHub and more, through a managed MCP layer with isolated scoped connections and OAuth the user approves. For the systems that matter in an enterprise and have no usable API, the legacy portal, the supplier extranet, the internal dashboard, browser automation solves captchas, rotates geo-aware proxies and keeps persistent logged-in profiles. Each agent can hold its own mailbox and phone number for email, calls, SMS and 2FA, which is what back-office workflows like AP, claims and onboarding actually run on.
FAQ
Questions, answered.
Q.01
What infrastructure do systems integrators use to run enterprise AI agents in production?
Most start on the client's cloud account with hand-assembled Kubernetes, then discover that keeping autonomous agents alive is a permanent platform job. Molted is the managed operating environment for that layer: isolated agent instances with pinned versions, 4-tier self-healing that catches crashes in under 60s and restores in under 90s, a versioned filesystem with point-in-time restore, and 1,000+ integrations. You keep the delivery and the client relationship, Molted runs the runtime underneath it.
Q.02
Where does Molted stop and our engagement start?
Molted stops at the runtime. Governance, the access model, SSO and role design, security policy, mapping agents onto the client's processes and systems, change management and support to the business: all of that is your engagement and stays yours. Molted runs the layer underneath, where the agents live: compute, isolation per client, crash recovery, versioned state and the integration surface. It is a supplier to your delivery, not a competitor to it.
Q.03
Our enterprise clients will not let agents run in a vendor cloud. Can Molted run in their datacenter?
Yes. Molted deploys three ways: Managed on Molted clusters, On-Premise on the client's own infrastructure and air-gapped if required, or a Swiss cluster for data sovereignty. In the on-premise model agents, state and credentials stay on their hardware, so the same delivery clears a regulated security review without you rebuilding anything. How that deployment plugs into their identity, their access model and their internal policy is your work, on infrastructure that finally stops fighting you.
Q.04
Can we run it under our own platform and brand?
Yes. Molted sits underneath your platform or your delivery as the operating environment. Your clients see your product, your branding and your methodology, while Molted runs the agent runtime, the recovery, the integrations and the compute. Pricing is per instance per day, pro-rated, so you can layer your managed-service margin on top and bill recurring revenue instead of project fees.
Q.05
How do we keep dozens of client engagements from becoming dozens of bespoke stacks?
Every engagement runs the same primitive: an isolated instance with its own pinned agent version, scoped connections, encrypted credentials and versioned filesystem, driven by one REST API and one dashboard across all clients. The delivery pattern is identical whether it runs managed or on the client's own infrastructure, so what you build once is what you resell, and your practice scales on repeatability rather than headcount.
Q.06
Our clients' workflows depend on systems with no API. Can agents still act on them?
Yes. Browser automation is managed: captchas are solved automatically, geo-aware proxies rotate so sessions do not get IP-banned, and per-instance profiles stay logged in, so an agent can work a legacy portal, a supplier extranet or an internal dashboard the way a person would. That sits alongside 1,000+ API integrations and per-agent mailboxes and phone numbers for email, calls, SMS and 2FA.
Q.07
Can we prove to a client's audit team what an agent did?
Every file an agent touches is natively S3-versioned, so you get file-level diff between any two versions and point-in-time restore that hot-reloads the running instance, including rollback after a delete. Every failure produces a full post-mortem. When an audit or a business owner asks what changed and when, you answer from the platform instead of reconstructing it from logs.
Q.08
Which agent runtimes and AI providers are supported?
OpenClaw and Hermes run on the same control plane, side by side, each pinned per instance, on Anthropic, OpenAI, Gemini, OpenRouter, xAI and a dozen more providers. A client can standardize on one runtime and one provider today and change either later without you re-platforming the engagement.
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