Confidential — SLT Review

Product Portfolio
Go-to-Market Roadmap

4 products. 15 months. From alpha to revenue. This is the plan to make CG a product company by mid-2027.

📋
Full-Day Workshop
Product Roadmap Finalization
Duration: 1 full day
Goal: Walk out with a signed-off roadmap
SESSION 1
9:00 – 10:30
Vision & Product Demos
  • Why now — market urgency
  • AI maturity framework (L1→L4)
  • Live demo of each product
  • Platform + product architecture
Outcome: Shared understanding of what we've built
SESSION 2
11:00 – 12:30
Pricing & Sales Strategy
  • Pricing models per product
  • Competitive analysis
  • Target buyers & entry points
  • Revenue projections
Outcome: Pricing tiers agreed, sales playbook drafted
SESSION 3
1:30 – 3:00
Testing & Quality Gates
  • Alpha criteria & client selection
  • Beta program design
  • Go/No-Go gates per quarter
  • Risk register & mitigations
Outcome: Alpha/Beta plan signed off, first clients named
SESSION 4
3:30 – 5:00
Roadmap & Commitments
  • Finalize quarterly milestones
  • Resource allocation & team structure
  • Budget & investment ask
  • Sign-off & next steps
Outcome: Roadmap approved, budget committed, owners assigned
9:00 – 10:30
☕ Break
11:00 – 12:30
🍽️ Lunch
1:30 – 3:00
☕ Break
3:30 – 5:00
Time to Market
March 2026 → June 2027
15
Months Left
6
Quarters
4
Products
$
Revenue by Q2'27

The Four Products

iQuality

FDA Compliance Automation

Automated audit trail review, CAPA management, regulatory intelligence. Powered by Knowledge Graph. Integrates Veeva, ServiceNow, JIRA.

Built on Claire

Claire 3.0

Agentic AI Platform

No-code platform to build, orchestrate, and deploy AI agents. L1→L4 maturity. Visual flow builder, store, governance, self-monitoring.

The Platform

MAiGRATE 2.0

AI Document Migration

PDF → Veeva Vault migration pipeline. AI classification, metadata extraction, field mapping. GPT-5 reasoning for complex documents.

Built on Claire

Polarion AI

Test Automation Intelligence

AI-powered test script generation, execution observation, deviation detection, evidence collection for validated systems.

Built on Claire
Claire 3.0 is the platform. iQuality, MAiGRATE, and Polarion AI are products built on top of it.

Pricing Strategy
Platform + product licensing model. Claire is the base. Products are add-ons. Consulting and implementation are separate revenue streams.
Product Model Pricing Tier Includes Notes
Claire 3.0 Platform license $X/mo per realm
Starter / Pro / Enterprise
Core platform, flow engine, store access, governance, command center Required base for all products
iQuality Product add-on $X/mo per tenant
Per-system onboarding fee
Pre-built agents (FDA Audit, CAPA), flows (AR-01→06), Veeva/SNOW connectors, compliance ontology + Implementation services
MAiGRATE 2.0 Per-migration or subscription $X per doc batch
or $X/mo unlimited
PDF pipeline, AI classification, metadata extraction, Veeva upload, Azure Blob Usage-based pricing option
Polarion AI Product add-on $X/mo per project
Per-protocol pricing
Test generation agents, execution observation, deviation detection, evidence collection Pairs with Polarion ALM
Recurring License
Platform + product subscriptions
Implementation
Onboarding, customization, training
Managed Services
Ongoing support, custom agents, store content

Sales Strategy

iQuality

Target: VP/Director of Quality & Compliance at mid-to-large pharma

  • Lead with pain: "How long does your audit trail review take?"
  • Entry point: Single system onboarding (Veeva Vault audit)
  • Expand: Add systems (SNOW, JIRA), add tenants (sites/BUs)
  • Proof: Live demo — 40k entries reviewed in 11 minutes

Claire 3.0

Target: CTO/VP Engineering at life sciences companies with AI initiatives

  • Lead with differentiation: "Only L1→L4 AI platform for regulated industries"
  • Entry point: Platform license + one use case (iQuality or MAiGRATE)
  • Expand: More realms, more tenants, store components
  • Proof: Architecture deck + compliance certifications

MAiGRATE 2.0

Target: Document management / regulatory affairs teams doing Vault migrations

  • Lead with volume: "How many documents are you migrating manually?"
  • Entry point: Pilot batch (500-1,000 docs)
  • Expand: Full migration contract, ongoing classification
  • Proof: Side-by-side: manual vs AI classification accuracy

Polarion AI

Target: Validation leads / QA directors managing IQ/OQ/PQ protocols

  • Lead with efficiency: "How long to write test scripts from SOPs?"
  • Entry point: Single system validation pilot
  • Expand: Enterprise validation platform, multi-project
  • Proof: Generated test script vs manual — same quality, 90% less time

Alpha & Beta Testing Plan

Alpha Testing

Internal + 1-2 Friendly Clients · 4-6 weeks per product
  • Who: Internal CG teams + 1-2 existing client relationships (NDA)
  • Goal: Find breaking bugs, validate core workflows, stress test
  • Scope: Core features only — not full product
  • Feedback loop: Weekly calls, shared Slack/Teams channel, issue tracker
  • Exit criteria: Zero P0 bugs, core workflows pass 95%, client signs off
  • Deliverables: Alpha test report, prioritized bug list, client testimonial draft

Beta Testing

5-10 External Clients · 6-8 weeks per product
  • Who: 5-10 clients across segments (big pharma, mid-market, biotech)
  • Goal: Validate product-market fit, pricing, onboarding experience
  • Scope: Full product — all features, real data, real users
  • Feedback loop: Bi-weekly NPS survey, monthly review, usage analytics
  • Exit criteria: NPS > 40, 80% feature adoption, pricing validated, 3+ willing to convert to paid
  • Deliverables: Beta report, case studies, reference clients, finalized pricing

Roadmap — Q2 2026 → Q2 2027
6 quarters. Each product follows: Build → Alpha → Beta → GA → Scale.
Product
Q1 '26
Jan-Mar
Q2 '26
Apr-Jun
Q3 '26
Jul-Sep
Q4 '26
Oct-Dec
Q1 '27
Jan-Mar
Q2 '27
Apr-Jun
Claire 3.0
BUILD L4
ALPHA
BETA
GA 1.0
SCALE
SCALE
iQuality
ALPHA
BETA
GA 1.0
SCALE
SCALE
SCALE
MAiGRATE 2.0
BUILD
ALPHA
BETA
GA 1.0
SCALE
SCALE
Polarion AI
BUILD
BUILD
ALPHA
BETA
GA 1.0
SCALE
Build
Alpha (Internal + 1-2 clients)
Beta (5-10 clients)
GA (General Availability)
Scale (Active sales)

Quarterly Success Criteria
What "done" looks like at each quarter. Miss a milestone = escalate immediately.
Q1 2026 — NOW

Foundation & First Alpha

  • Claire: L4 features complete, internal testing, documentation
  • iQuality: Alpha with 1-2 internal CG teams + 1 friendly client
  • MAiGRATE: V2 build on Claire flows (migrate from standalone)
  • Polarion AI: Requirements gathering, architecture on Claire
  • Pricing: Draft pricing model reviewed by sales leadership
Target: iQuality alpha feedback collected
Q2 2026

Alpha Expansion & First Beta

  • Claire: Alpha with 2 external clients (platform license pilots)
  • iQuality: Beta launch — 5 clients across pharma segments
  • MAiGRATE: Alpha with 2 migration projects
  • Polarion AI: Build complete, internal testing
  • Sales: Sales team trained, pitch deck finalized, pricing v1 live
Target: 5 beta clients signed for iQuality
Q3 2026

First Revenue & GA Prep

  • Claire: Beta with 5-8 clients, pricing validated
  • iQuality: GA launch — first paying customers
  • MAiGRATE: Beta with 5 migration projects
  • Polarion AI: Alpha with 2 validation teams
  • Revenue: First signed contracts (iQuality)
Target: First $X in signed ARR (iQuality GA)
Q4 2026

Multi-Product Revenue

  • Claire: GA launch — platform generally available
  • iQuality: 5+ paying clients, 2+ case studies published
  • MAiGRATE: GA launch — first paying migrations
  • Polarion AI: Beta with 5 validation teams
  • Revenue: 3 products generating revenue
Target: 3 products in market, $X cumulative ARR
Q1 2027

Scale & Expand

  • Claire: 10+ platform licenses, store with 50+ components
  • iQuality: 10+ clients, multi-tenant deployments live
  • MAiGRATE: 5+ migration clients, usage-based billing live
  • Polarion AI: GA launch — first paying clients
  • Marketing: Conference presence, published case studies, partner channel
Target: 4 products GA, $X quarterly revenue run rate
Q2 2027 — DEADLINE

Prove the Model

  • All products: Positive unit economics (revenue > cost per client)
  • Pipeline: 20+ qualified opportunities across all products
  • Retention: 90%+ renewal rate on first cohort
  • References: 5+ referenceable clients willing to speak publicly
  • Team: Dedicated product team (PM, engineering, sales, CS)
Target: Prove CG is a product company. $X ARR. Board-ready metrics.

What We Need from SLT
👥
Dedicated Team
Product manager, 2-3 engineers, 1 designer, 1 sales lead per product. Not borrowed from client projects.
💰
Investment Budget
15-month runway for infrastructure, LLM costs, alpha/beta programs, marketing, and conference presence.
🤝
Client Access
Intro to 10-15 existing CG clients for alpha/beta. Sales team alignment on product-led conversations.
The window is 15 months. If we don't move now, someone else will build this for our clients.
CG Product Portfolio — Confidential SLT Review · March 2026