Embed the same architecture
in your own workflows.
RevOps, legal, claims, procurement. Any workflow that needs auditable reasoning. Architecture Sprint to Build to Subscription, delivered by a Forward-Deployed Engineer model. Your data, your VPC, your calibration.
From Sprint to Subscription.
Every Operate engagement compounds. The Sprint installs the architecture. The Build deploys chains specific to your workflows. The Subscription keeps the chains current as frontier models improve. Customer-specific chains and calibration rules become your permanent capability.
Two weeks
Two-week engagement. Map your workflows. Identify which decisions need adversarial / synthetic / constructive priors. Ship a working prototype on real data. Fixed scope, no surprises.
Six to twelve weeks
Six-to-twelve week build. Customer-specific reasoning library deployed inside your VPC. FDE on-site or embedded with your team. Stage-calibrated outputs structured to your committee or audit format.
Subscription runtime
Ongoing subscription. Your chains kept current as frontier models advance (Claude 4.7 today, whatever ships next quarter). Caliber-evaluated quarterly. Vendor-swappable. SaaS-style margins start here.
Enterprise FDE: $500M+ ARR digital experience platform leader.
In active proposal review. Phase 1 Discovery scoped, time-and-materials build to follow. The customer explicitly framed the engagement as FDE, not vendor relationship. Same operational discipline we run internally, applied to their RevOps stack.
We don't just build agents.
We operate via them.
CevantAI runs on a 12-agent operational stack. Named, scheduled, audited. Each owns a discrete role: intel sweep, ops monitoring, calibration, QA, brief synthesis, exec briefings. Same architecture customers will run on by Q3 2026.
Named & audited
Daily schedules. Each agent owns a discrete role with timestamped, file-backed, replayable output. Customer-facing dashboard ships Q3 2026.
Pipeline discipline
Three-stage pipeline. Each gate validates output schemas. Partial-failure recovery before passing downstream. Same discipline customers get on their chain runs.
Replayable outputs
Every agent output is timestamped, file-backed, and replayable. Production discipline running daily since March 2026.
Deployed inside your VPC.
Your data never leaves.
Operate engagements run inside your Virtual Private Cloud. Customer-specific chains are your intellectual property. We hand over the runtime; the calibration rules and reasoning library deployed to your environment are yours permanently.
| VPC Deployment | Runs inside your infrastructure. Not a shared cloud. |
| Zero Retention | Nothing stored or processed outside your VPC boundary. |
| No Model Training | Your data does not train any public model. Ever. |
| Customer-owned chains | Chains and calibration rules deployed to your environment are yours. |
| Vendor-neutral | Caliber-evaluated quarterly. Model layer swappable without rebuild. |
Two weeks to a working prototype.
Two-week Architecture Sprint. We map the workflow, build the prototype, and show you what it surfaces on real data, before any Build commitment.
Scope a Sprint