Platform
ClearData AI Suite
The operating layer for enterprise intelligence. One conversation on the surface — an orchestrated fleet of agents, grounded in your data, doing the work underneath.
The operating layer for enterprise intelligence. One conversation on the surface — an orchestrated fleet of agents, grounded in your data, doing the work underneath.
Most enterprises bought a chatbot. We built the operating layer that actually does the work — grounded, governed, and connected to the systems you already run.
No dashboards to learn, no reports to queue, no prompt gymnastics. Ask in plain language and the workspace composes the response in real time — the right chart, the right table, the right document, built around exactly what you asked.
The same intelligence, delivered to fit how your business operates and how much of the stack you want to own. Choose the surface, the depth, or move between them as you grow.
The surface — live in days, nothing to run.
The depth — deployed inside your environment.
Not sure which fits? Talk to us — we'll match the deployment to your needs.
Behind the conversation, four moves turn a plain-language question into a finished result.
One request fans out to a coordinated team of purpose-built agents — each with its own role, tools, and guardrails — working in parallel under a single orchestrator. The hard, cross-functional jobs get done without you stitching the pieces together.
Secure, permissioned connections into your data lake, databases, documents, and tools. Your data stays yours; the intelligence comes to it.
For anything beyond a quick lookup, the Suite forms a plan, decomposes the work, and verifies each step — so long, multi-stage tasks stay on the rails.
Approval gates on consequential actions, a full audit trail on everything, and a persistent values layer that pauses to reflect before high-impact decisions. Autonomy and accountability, designed to scale together.
What looks like a simple chat is an entire operating layer — interpreting intent, orchestrating specialists, and grounding every result in your governed data.
The Suite replaces dashboards and report queues with a single conversation. Ask in plain language and it composes the response in real time — the right chart, the right table, the right document — each generated for the question you asked and traceable back to its source.
Behind the conversation, an orchestrator breaks the work into tasks and delegates to a fleet of specialist agents — each with its own tools, role, and guardrails. They work in parallel and report back, so long, multi-step jobs get done without you assembling the pieces by hand.
The Suite draws on a governed knowledge layer built from your documents, data, and systems, and grounds every answer there — with citations. And unlike a chatbot, it carries context forward: what it learns about your business persists and compounds from one conversation to the next.
Everything below ships in one platform — composable, governed, and ready to deploy against real work.
A single chat that renders charts, documents, and cited answers on demand — no dashboards to learn.
An orchestrator and specialist sub-agents that divide and conquer complex, cross-functional work.
Anthropic, OpenAI, Google, or open-source — the best engine for each task, with no vendor lock-in.
Retrieval over your governed data, with every answer cited back to its original source.
Agents remember across sessions, so the system gets sharper the more your teams use it.
Reusable, packaged know-how that agents load on demand for repeatable, on-brand quality.
Agents think before they act — decomposing and verifying long-horizon work, in the open.
Approval gates on consequential actions keep a person in control of the decisions that matter.
A persistent values layer that pauses to reflect before high-impact decisions are made.
Secure, permissioned connections to your systems through open, standardized protocols.
Inbound and outbound voice that speaks, listens, and acts — with faithful transcripts of every call.
Long-running jobs that drive themselves to completion — inside strict budgets and guardrails you set.
The gap between a generic assistant and the ClearData AI Suite is the difference between talk and outcomes.
Security, deployment, and governance aren't add-ons — they're how the Suite is built.
Single sign-on, role-based access, and permissioned tools. Your data stays inside your boundaries.
Run it in the cloud, in your own tenant, or against your own machines — without your data leaving your perimeter.
Run open-source models on your own hardware for sensitive workloads — keeping the most confidential data in-house.
Multi-tenant, metered, and governed — from a single team running a pilot to the whole enterprise in production.
Subscribe and we host it, or own it and run it in your own cloud. The same operating layer underneath — pick the model that fits how your organization wants to work.
We host the platform in a secure multi-tenant cloud. Standard fleets, scoped consulting, and continuous automatic updates — live in days.
A dedicated, single-tenant deployment in your own cloud. Own the IP, build agents in-house, and scale without per-seat fees.
| Aspect | SaaS | PaaS |
|---|---|---|
| Investment model | Recurring opex subscription | One-time license + ongoing services & SLA |
| Hosting | Multi-tenant cloud (ClearData AI) | Dedicated single-tenant — your VPC / data center |
| Customization | Standard fleets + scoped consulting | Full source-level + self-serve in-house build |
| Agent builder access | Engagement-gated | Agent Builder + Prompt Editor + Fleet Maker |
| Autonomous mode | Governed throttling | Unrestricted — you control the limits |
| Admin & governance | Client-tunable within bounds | Full admin control + governance |
| Models / API keys | Pass-through, optional BYOK | Owned registry, BYO keys — no markup |
| Updates | Continuous, automatic | Continuous under SLA — “Living Platform” |
| Speed to value | Days | Weeks to install, long-tail ownership |
Not sure which to pick? Start with SaaS for speed, then license the platform and move to PaaS when your footprint justifies ownership — the same platform and the same value engine underneath, so there's no migration tax.
A complete enterprise AI operating system. Whether you subscribe or own it, pricing is sized to your organization — and every unit of value rolls up from a specific fleet doing a specific job, measured in your own telemetry.
Scroll to compare tiers →
| BasicFor a focused team | Most PopularStandardMost-chosen footprint | PremiumScaling across functions | EnterpriseOrg-wide deployment | CustomTailored & sovereign | |
|---|---|---|---|---|---|
| Platform plan | Contact us | Contact us | Contact us | Contact us | Contact us |
| Capacity & footprint | |||||
| Paid agent fleets + 2 free preview fleets | 1 | 2 | 4 | 6 | 7 |
| User seats included (max) | 5 (10) | 15 (30) | 35 (75) | 75 (200) | 100 (∞) |
| Concurrent run slots | 3 | 8 | 20 | 40 | 50 |
| Autonomous schedule slots | 2 | 5 | 12 | 25 | 40 |
| Capabilities & integration | |||||
| MCP integrations from a catalog of 37 | 5 | 10 | 14 | 37 | 37 |
| Copilot personas | 4 | 7 | 11 | 11 | 11 |
| Middleware capabilities | 8 | 11 | 17 | 19 | 19 |
| Managed Data Lake | ✓ | ✓ | ✓ | ✓ | ✓ |
| Agent Bridge A2A / local | – | ✓ | ✓ | ✓ | ✓ |
| Volume discounts | – | ✓ | ✓ | ✓ | ✓ |
| BasicFor a focused team | Most PopularStandardMid-size organization | PremiumScaling across functions | EnterpriseOrg-wide deployment | CustomSovereign & bespoke | |
|---|---|---|---|---|---|
| License & investment | Contact us | Contact us | Contact us | Contact us | Contact us |
| Ownership & deployment | |||||
| Platform license you own the IP — perpetual / annual | ✓ | ✓ | ✓ | ✓ | ✓ |
| Dedicated single-tenant your VPC / data center | ✓ | ✓ | ✓ | ✓ | ✓ |
| Full source-level customization | ✓ | ✓ | ✓ | ✓ | ✓ |
| Self-serve in-house build Agent Builder, Fleet Maker, Prompt Editor | ✓ | ✓ | ✓ | ✓ | ✓ |
| Onboarding (one-time) | |||||
| Install & provisioning environment, networking, IAM, data layer | ✓ | ✓ | ✓ | ✓ | ✓ |
| Knowledge transfer & training architecture, ops & admin | ✓ | ✓ | ✓ | ✓ | ✓ |
| Ongoing (under SLA) | |||||
| Continuous “Living Platform” updates | ✓ | ✓ | ✓ | ✓ | ✓ |
| Bundled SLA package | Basic | Standard | Premium | Enterprise | Sovereign |
| Response target | Next business day | 8 business hrs | 4 hrs · 24×5 | 1 hr · 24×7 | 1 hr · 24×7 |
Capabilities you build and run in-house — engagement-gated on SaaS, fully yours on PaaS.
Pricing is scoped to your organization size, run capacity, and SLA. Tell us your footprint and we'll size a plan with a clear value baseline.
Request tailored pricingCoverage matches what's riding on the platform — bundled by tier on PaaS, selected separately on SaaS.
| Package | Response | What's covered |
|---|---|---|
| Basic | Next business day | Email · 13×5 · included with the Basic tier |
| Standard | 8 business hours | Email + Slack/Teams · 13×5 · weekly updates, named Client Success Manager |
| Premium | 4 hours · 24×5 | + Phone · “Living Platform” continuous updates · quarterly business review |
| Enterprise | 1 hour · 24×7 | Dedicated channel + on-call · solutions architect · monthly tuning & postmortems |
| Sovereign | 1 hour · 24×7 | + compliance/audit liaison · regulated-industry reviews · sovereign deployment |
How pricing works. The platform plan is account-wide and set by tier. Seats, run and schedule slots, fleets, MCP integrations and SLA are then added to fit your organization size, from SMB to enterprise.
Bring your own keys. Provide your model API keys and LLM usage is billed directly by the provider with no markup; otherwise we meter usage at published model rates. Optional add-ons — extra tokens, threads, seats and slots — are available at per-tier rates.
Own it outright. A PaaS option lets you license the platform with install, provisioning and knowledge transfer, plus a recurring maintenance SLA and a bring-your-own-compute credit.
Value is measured, not asserted. Value rolls up per fleet from a baseline captured before go-live; every run meters tokens, latency, tool calls, and the artifact produced. Figures are illustrative planning defaults, calibrated during scoping and confirmed in your own telemetry.
What buyers ask before bringing the operating layer in-house.
The ClearData AI Suite is the enterprise AI operating layer: a platform where AI agents, your governed data, your tools, and human oversight work as one system. It is available as a SaaS subscription or as platform ownership (PaaS) for organizations that want the asset on their own terms.
No. Anthropic Claude, OpenAI GPT, and Google Gemini are all first-class providers, alongside open-weight models on your own hardware. Models can be mixed within a single system and switched without re-engineering — the operating layer is the constant; the models are interchangeable.
Neither is the core model. Pricing is value-based — anchored to the outcomes the platform delivers, not consumption meters. You can bring your own model keys with no markup, and hard run budgets enforced by the platform keep costs predictable rather than open-ended.
Yes. The PaaS model means platform ownership: the system becomes your asset, with services, support, and continuous updates engaged as you need them. Teams that prefer a subscription start with SaaS and can move toward ownership as adoption grows.
In our managed cloud or in an environment you control — and for sensitive workloads, open-weight models can run entirely on hardware you own. Deployment is scoped during the pilot so security review and procurement happen once, properly.
Bring a real problem from your business. We'll show you the operating layer working against it — live.
Schedule a Demo