PrescientIQ™

The autonomous revenue operating system at the core of every MatrixLabX deployment. Not a dashboard. Not a copilot. A self-reinforcing digital workforce that executes without human prompting — 24/7/365.

Higher goal completion rate vs. AI copilots
−47%
Average CAC reduction within 90 days
200+
AI models powering PrescientIQ™
15
Days to live deployment
99.8%
Agent uptime across all deployments
60
Days to measurable P&L impact

The Sense→Decide→Act→Learn Loop

A self-reinforcing continuous loop — not a one-time automation, not a workflow trigger. PrescientIQ™ compounds its performance every cycle by learning from every action it takes.

Phase 01
Sense
Ingest · Classify · Prioritize
Continuously ingests CRM data, buyer intent signals, web telemetry, and competitive intelligence across the full revenue stack in real time. No manual data pulls. No reporting lag.
Phase 02
Decide
Model · Infer · Prescribe
Models causal relationships between signals and outcomes — not correlations. Infers root causes, prescribes the optimal next action, and ranks by expected P&L impact.
Phase 03
Act
Execute · Deploy · Operate
Executes outbound sequences, media budget shifts, compliance responses, content generation, and account expansion plays — autonomously, without human approval loops.
Phase 04
Learn
Update · Compound · Improve
Updates its own models from every outcome — every reply, every conversion, every compliance event. Performance compounds over time. No manual retraining required.
01Sense
02Decide
03Act
04Learn
PrescientIQ™SENSE
Intent score 0.86 · 14 signals/min
01 / 04

Sense

Agents continuously ingest live telemetry — CRM activity, web signals, ad platforms, product usage — the moment it happens.

02 / 04

Decide

Each signal routes through Claude Sonnet 4 and Gemini for causal reasoning. The Agent Gateway enforces policy before any action is approved.

03 / 04

Act

Approved decisions fan out to a swarm of specialized agents — BD, proposal, compliance — that execute in production without human handoffs.

04 / 04

Learn

Outcomes feed back into the Memory Bank. Confidence scores compound over time, so the digital workforce gets measurably better each cycle.

Every Action Passes Through
Air-Traffic Control

No agent can execute in the real world without passing identity verification, Model Armor content scanning, and IAM scope checks — all enforced inside the Google Cloud perimeter before a single byte leaves.

Digital Workforce
BD Agentspiffe://matrixlabx/bd-agentIAM: crm.write · email.send
Proposal Agentspiffe://matrixlabx/proposal-agentIAM: docs.write · pricing.read
Compliance Agentspiffe://matrixlabx/compliance-agentIAM: audit.read · policy.eval
Agent GatewayAir-traffic control for every outbound action
Identity verified
Model Armor: clean
IAM scope OK
Policy passed
Powered by Google Model Armor
Approved Execution
BD AgentAction executedwithin GCP perimeter · never trains external LLMs

The Right Model for
Every Task, Automatically

PrescientIQ™ routes each task to the optimal model in real time — Claude Sonnet 4 for deep reasoning and compliance rationale, Gemini for multimodal and Workspace-native workflows — managing accuracy and compute spend simultaneously.

Incoming taskProposal drafting
Agent GatewayRouting · Policy · Model Armor
Anthropic Claude Sonnet 4Deep reasoning · long context
Google GeminiMultimodal · Workspace-native
modelclaude-sonnet-4reasonHigh-reasoning threshold requiredlatency420ms

Dynamic orchestration hot-swaps between Claude and Gemini per task — optimizing accuracy and compute spend under the hood. Every action passes the Agent Gateway for policy enforcement before it executes.

Every Agent Decision
Is Fully Auditable

No black box. Every Sense → Decide → Act → Learn cycle is logged with the model used, the routing reason, and the latency — so your team has full visibility into what the autonomous workforce is doing and why.

prescientiq · agent-trace.log
09:41:02SENSESignal detected — target account visited /pricing 3× in 24hSource: CRM telemetry · Intent score 0.86

Zero Institutional Amnesia.
Knowledge Compounds Over Time.

Unlike point-in-time copilots that start fresh each session, PrescientIQ™ retains every constraint, preference, and outcome in a persistent Memory Bank — so agents apply what they learned in Q3 to the proposal they're drafting today.

Today · Proposal drafting

Drafting renewal proposal for Acme Corp…applying remembered terms

Memory Bank accessedClient requested strict Net-60 payment terms.Captured Q3 2025 · auto-applied

Persistent Memory Bank ensures zero institutional amnesia — agents recall constraints from months prior, so your digital workforce compounds in value instead of forgetting context between sessions.

Not SaaS. Not a Copilot.
Autonomous Digital Labor.

Human-operated. Always passive.

Require operators to log in, configure, interpret dashboards, and take action. The tool waits. The human works. You pay per seat regardless of outcome.

Human-prompted. Still dependent.

Assist when asked. Suggest when prompted. They accelerate human labor but do not replace it. Goal completion rate remains bounded by human bandwidth.

Autonomous. Always executing.

Senses signals, decides on actions, executes workflows, and learns from outcomes — continuously, without dashboards or human prompts. You pay for outcomes, not seats.

Powered by the World's
Leading Foundation Models

PrescientIQ™ is built on Google Gemini Enterprise and Anthropic Claude — the two most capable enterprise-grade foundation models available. Deployed within your secure cloud environment with zero data leakage.

Google Gemini Enterprise
Anthropic Claude
Google Cloud
SOC 2 Type II
HIPAA Compliant
GDPR Compliant
Zero-Trust Architecture
200+ AI Models

What Happens to Your Metrics
Over 12 Months

Pipeline velocity climbs to +82% and CAC falls to −47% within 90 days of full deployment — then holds. Data from production enterprise deployments.

Mo 1
0
Mo 2
+15%
Mo 3
+35%
Mo 4
+58%
Mo 5
+68%
Mo 6
+75%
Mo 7
+79%
Mo 8
+81%
Mo 9
+82%
Mo 10
+82%
Mo 11
+82%
Mo 12
+82%
Pipeline Velocity (+% vs. baseline)CAC Reduction (% change)

Three Ways to Deploy
PrescientIQ™

Revenue Accelerator

Autonomous pipeline engine replacing SDR teams at 6× output. 4× pipeline velocity. +38% trial-to-paid conversion. −70% cost per pipeline dollar.

Learn more →

Compliance Shield

Autonomous regulatory and fraud defense. −80% fraud false positives. 60–80% compliance cost reduction. Audit prep: weeks → hours.

Learn more →

Generative Growth Engine

Autonomous paid media optimization and AI search visibility. +340% ROAS within 90 days. ChatGPT and Perplexity citations. Content at catalog scale.

Learn more →

Map Your Digital Workforce
in 60 Seconds

Tell us your role, size, and what you want to automate first — we'll show you the agent bundle and the exact outcome metric you should expect.

Map Your Digital Workforce

Who are we building for?

Company size (ARR)

PrescientIQ™ FAQs

Not sure which solution is right?
Answer 4 questions.

Tell us your role, your biggest pain, your industry, and your timeline. We'll match you to the right autonomous agent stack in under 60 seconds.

Step 1 of 4 — Your role
What is your primary role?
This shapes which outcomes matter most to you.

See PrescientIQ™
In Your Environment

Every engagement starts with a free AAR Benchmark — we map your operational drag and project your P&L delta before you commit.

Book Your Free AAR Benchmark →

$2,400 VALUE · COMPLIMENTARY FOR QUALIFIED ENTERPRISES · RESPONSE IN 24HRS