Priced on work executed. Not seats.
PrescientIQ™ is digital labor, not software licenses. You pay for a governed pool of executed revenue workflows — every action human-approved, every action written to an immutable audit ledger, every invoice reconciled from the same metered usage view you can audit yourself.
Revenue Accelerator — annual engagement
Implementation (one-time) Tenant provisioning inside your own Google Cloud environment, per-agent IAM, audit-ledger setup, and context ingestion from your CRM. Target: live in 15 days. Target — modeled | $15,000 |
Annual platform — from Four cooperating agents (Prospecting, Outbound, Trial Conversion, Expansion), the Coordinator, the HITL approval queue, and the immutable audit ledger. Includes a committed monthly pool of human-approved executed workflows; scales with scope and volume. | $120,000/yr |
First-year total — from | $135,000 |
$120,000/year is the minimum annual engagement; final pricing scales with workflow volume and scope. Usage above your committed pool is metered and invoiced at a contracted overage rate — terms are set in your agreement.
Every invoice line is computed deterministically from the platform's own metering ledger. No re-derivation, no estimates — you audit the same usage view we invoice from.
Every engagement starts with a free AAR Benchmark.
A client-specific P&L projection built on your own data in a live working session. Read-only access — we never write to your system of record during the AAR. It's how modeled targets get validated against your environment before you commit a dollar.
What the $120K buys: four agents, one governed loop
Agents execute. Humans approve. Every consequential action routes through the HITL approval queue before it touches your CRM or a prospect's inbox — and every action is recorded to an immutable audit ledger with rationale and before/after state.
Prospecting Agent
Identifies ICP-fit accounts from intent and firmographic signals with deterministic, sandboxed scoring — no LLM arithmetic on anything with a numeric consequence.
Outbound Agent
Drafts outreach grounded in the exact trigger signal. Every draft goes through your approval queue before send — no exceptions.
Trial Conversion Agent
Monitors in-product events and fires activation sequences at the moment a trial stalls before the value event.
Expansion Agent
Surfaces upsell and churn-risk signals from account behavior before your CSMs would catch them.
How metered billing works
Labor-as-a-Service only works if the labor is measurable. The platform meters itself from day one.
- THE UNIT
A billable unit is a completed, human-approved consequential action — a CRM write, an approved outbound send, an executed workflow step. Drafts, retries, and rejected actions don't bill.
- THE POOL
Your annual platform fee includes a committed monthly pool of units sized to your environment. Consumption above the pool bills at a contracted overage rate; pool terms, including periodic recalibration, are fixed in your agreement.
- THE LEDGER
Every unit is written to an append-only audit ledger at execution time. Your invoice reconciles from that ledger alone — the same view your team can inspect at any time.
- NO SEATS
Add users, reviewers, and approvers freely. Headcount never changes your price. Only executed work does.
What we can prove today — labeled honestly
Every figure we publish carries its measurement status. We think the label is the trust signal.
Figures labeled “Target — modeled” are modeled outcomes against current human/copilot baselines, not guarantees. Every engagement begins with a free AAR Benchmark — a client-specific P&L projection on your own data — and targets are validated against your environment before any commitment.
Who this pricing is built for
The engagement is scoped for one profile. If that's you, the AAR will show it on your own numbers.
Strong fit
- Mid-market B2B, $20M–$500M ARR
- B2B SaaS first (FinTech, Healthcare, Manufacturing, E-Commerce follow)
- Salesforce and/or HubSpot as the system of record
- Americas-based revenue team
- CRO / VP Revenue owns the outcome; RevOps can grant read access for the AAR
Not yet a fit
- Sub-$20M ARR or pre-revenue
- No CRM system of record in place
- Looking for an unattended, no-approval automation tool — every consequential action here is human-approved by design
- Seat-based procurement that can't buy metered work
Security & compliance
PrescientIQ runs on Google Cloud Vertex AI Agent Builder, which maintains SOC 2, ISO 27001, and PCI DSS-attested infrastructure. Agents execute inside your own Google Cloud tenant under VPC Service Controls — your data never leaves your perimeter.
Architecture is HIPAA-eligible under a Google BAA. MatrixLabX application-layer SOC 2: in progress.
Reliability: engineered availability SLO of ≥99.5% on the model/inference path, with explicit third-party carve-outs (CRM, intent, and email providers).
Compliance Shield — enterprise pricing
Built for Chief Risk Officers in Fintech and Healthcare, Compliance Shield turns your static compliance manual into an active, real-time legal boundary. Four coordinated agents monitor, govern, predict, and document — with a mandatory human-in-the-loop workflow on every high-tier flag. Priced as automated insurance against regulatory fines, not as another seat license.
Compliance Shield — annual engagement
Implementation & setup (one-time) Ingestion of your proprietary compliance manuals into the RAG rules engine, enterprise API connections (Slack, Microsoft Graph, Salesforce), and tuning to minimize false positives. Baseline real-time defense established in under 30 days. | $100,000 |
Platform access fee Baseline secure infrastructure, the CRO-level risk dashboard, and continuous regulatory updates managed by the Governance Agent as rules change. | $60,000/yr |
Monitored seat license Per employee under monitoring — communications scanned, scored, and (where required) quarantined in real time. Scales with your organization, not with your compliance team's headcount. | $75/user/mo |
Audit preparation on-demand The Auditor Agent generates complete, audit-ready dossiers from its immutable log whenever an examiner comes calling — replacing weeks of manual paralegal and compliance-officer labor. | Included |
Example first year — 250 monitored users | $385,000 |
Example: $100,000 implementation + $60,000 platform + 250 users × $75/mo. A 1,000-person institution runs roughly $1.06M in year one.
Contracts are annual — compliance is a long-term enterprise commitment. Seat licensing includes fair-use API thresholds per user; sustained high-volume events are handled under contracted terms, never surprise invoices.
Compliance Monitoring
Hooks into Slack, Teams, and email via API. Scans in-flight text and transaction data against your ingested manual, flagging and quarantining violations by severity tier.
Governance Agent
Ingests your compliance manual and external regulatory frameworks. When rules change, it drafts proposed policy updates — for human approval, never on its own authority.
Risk Intelligence
Detects patterns of risky behavior before any single rule is broken, scoring risk by department, team, and individual so the CRO sees vulnerabilities before a breach.
Auditor Agent
Maintains the immutable log of every action, flag, and resolution — and generates complete regulatory dossiers on demand instead of after weeks of manual scramble.
Compliance Shield is the next release on the PrescientIQ™ roadmap: closed beta targeted for December 2026, general availability with the Google Cloud Marketplace listing in January 2027. Figures labeled “Target — spec” are engineering requirements the system is built and tested against, not yet measured production results. Early-access design-partner slots for Fintech and Healthcare are limited — talk to us or see the Compliance Shield overview.
Generative Growth Engine — pricing
Built for CMOs and VPs of Marketing, the Generative Growth Engine runs four governed agents — AI-search visibility (GEO), content generation, media reallocation, and budget allocation — as one loop, under the same approval queue and audit ledger as every PrescientIQ™ engagement. The right price comparison is not AI-visibility tooling; it is the labor being displaced. Mid-market agency retainers are commonly reported at $5K–$25K per month, with media management alone typically billed at 10–20% of ad spend — a modeled $120K–$245K a year for a $50M-ARR company, before content production or tooling. The Growth Engine is priced inside that envelope, and below it at the landing tier.
Generative Growth Engine — annual engagement
| Scope | Focus | Scale | Enterprise |
|---|---|---|---|
| Paid channels | 2 | 4 | Unlimited |
| Tracked query set | ~250 | ~750 | Custom |
| AI answer surfaces | 3 | 5 | All supported + regions |
| Sampling cadence | Weekly | Daily | Daily + on-demand |
| Content properties | 1 | 3 | Unlimited |
| Committed pool (weighted units/mo) | ~150 | ~500 | Custom |
| Annual platform fee Modeled | $54,000 | $96,000 | $150,000+ |
| First-year total (incl. implementation) Modeled | $69,000 | $111,000 | $165,000+ |
Every PrescientIQ™ engagement starts with a $15,000 implementation — the same non-negotiable line as the Revenue Accelerator. Existing Revenue Accelerator accounts pay a reduced $7,500 second-bundle integration fee instead: your tenant, IAM, and audit ledger already exist, and we don't bill for work not performed.
Every tier includes all four agents, the Coordinator, the human-approval queue, the full audit ledger, and unlimited users. Governance is never tier-gated, and the agents are not sold à la carte — the product is one governed loop, not four tools.
How weighted units meter the work
- THE UNIT
A billable unit is a completed, human-approved growth workflow, weighted by class: a published content asset counts 1.0×, an applied retrievability change 1.0×, and an executed budget reallocation 3–5× — because a reallocation is cheap to produce and moves real money, and pricing it flat would make the highest-value action the cheapest thing we sell. Drafts, retries, and rejected recommendations never bill.
- THE POOL
Your platform fee includes a committed monthly pool of weighted units sized to your tier. Consumption above the pool bills at the contracted rate × class weight. No rollover — pools recalibrate on a schedule fixed in your agreement, which is simpler to reconcile and simpler to explain.
- THE SURFACE
The platform fee scales with the observability surface — connected channels, tracked queries, answer surfaces, sampling cadence, and content properties — because that is what the system continuously watches on your behalf, whether or not you approve a single change that week. It is scoped up front, verifiable by both parties, and grows only when your scope does.
- NOT PRICED
Never a percentage of ad spend — a vendor paid on spend is paid to grow spend, not efficiency. Never per seat — every additional reviewer makes the governance model work better, and we will not charge you to use the approval queue we sell. And never per agent — no à-la-carte pricing, ever.
Revenue Accelerator + Growth Engine, as one engagement.
Bundle 01 + Growth Engine Scale runs as a single governed revenue-and-growth engagement: one implementation, one audit ledger, one approval queue — a modeled $238.5K first year, $216K recurring. Existing Revenue Accelerator accounts add the Growth Engine as a scope amendment, not a new procurement cycle.
Figures labeled “Modeled” are modeled proposals — validated and sized against your own channel count, query set, and content volume at scoping before anything is signed. Third-party market figures (agency retainer bands, media-management fee rates) are reported industry ranges as of 2026. See the Generative Growth Engine overview or talk to us about a Retrievability Baseline for your domain.
Pricing questions
Why is there a $15,000 implementation fee?
Is $120,000 the price, or the starting price?
What happens if we use more than our committed pool?
Do you guarantee the outcome figures?
Does the AI act without human approval?
How is this billed?
See your numbers before you spend a dollar.
Request the free AAR Benchmark. We'll build a modeled P&L on your own pipeline data, label every figure, and let you decide with the evidence in front of you.