Crelligent — Product Review
Date: February 16, 2026 Purpose: Honest review of all 3 platforms — what's built, what works, what's missing, and what's next.
Product 1: VeloDesk
What It Is
Early-stage system sensing & product validation platform for startups. Generates a PMF Score™ that tells founders how close they are to product-market fit — with data, not guesswork.
Positioning
"VeloDesk is the PMF intelligence engine for startups. It replaces gut feeling with a systems-level score."
Tech Stack
- Frontend: Next.js (App Router), Tailwind CSS
- Backend: Supabase (auth + database)
- Payments: Paystack + Stripe integration
- AI: API route for AI-powered insights
Current Capabilities (27 Modules)
| Category | Modules | Description |
|---|---|---|
| Core Analytics | Dashboard, Analytics, PMF Report | PMF Score™ with 5-dimension breakdown (Retention, Growth, Engagement, Revenue, Satisfaction) |
| Validation Tools | Validations, Prototype Validator, Focus Group | Test assumptions, validate prototypes, simulate user research |
| Prototyping | Prototyping, AR Lab, AR Preview, Landing Tester | Build and test landing pages, AR prototypes |
| Market Intelligence | Trends, Competitive, Benchmarks | Market trends, competitor analysis, industry benchmarks |
| Growth Tools | Leads, Retention, Adoption, User Journey | Lead tracking, retention metrics, adoption funnels, journey mapping |
| Investor Tools | Data Room, PMF Report | Investor-ready data room, downloadable PMF reports |
| GTM | GTM, Simulations | Go-to-market planning, market simulations |
| Collaboration | Team, Leaderboard, Copilot | Team management, startup leaderboard, AI copilot |
| Platform | Integrations, API Keys, Settings, White Label, Badge | Third-party integrations, API access, white-labeling |
API Routes
/api/pmf— PMF score calculation/api/ai— AI-powered insights and copilot/api/leads— Lead management/api/badge— Embeddable PMF badge/api/integrations— Third-party connectors/api/paystack+/api/stripe— Payment processing/api/v1— Public API (versioned)
Strengths
- Most feature-complete of the 3 platforms — 27 modules
- PMF Score™ is a unique differentiator — no competitor scores PMF this way
- Monetization ready — Paystack + Stripe integrated
- Auth system works — Supabase auth with onboarding flow
- Premium UI — minimalist, dark-mode, Outfit font, clean aesthetic
Gaps
| Gap | Impact | Priority |
|---|---|---|
| Data is mocked/demo | No real data ingestion from live sources | Critical |
| Integrations not live | Mixpanel, Stripe, etc. are UI only | High |
| AI copilot is basic | Needs deeper system analysis capabilities | Medium |
| No multi-tenant billing | Can't handle subscription tiers at scale | Medium |
| No onboarding walkthrough | New users may get lost in 27 modules | Medium |
Readiness: 🟡 Demo-Ready, Not Production-Ready
VeloDesk can be shown to prospects and used in sales conversations. It looks and feels like a real product. But it needs live data integration and real scoring algorithms to be a production SaaS.
Product 2: BI Suite
What It Is
Organizational intelligence platform for enterprise clients. Measures system health through the System Alignment Index (SAI) — a proprietary score across 5 operational dimensions.
Positioning
"BI Suite gives executives a single number that tells them if their organization is aligned — and exactly where the friction is."
Tech Stack
- Frontend: Next.js (App Router), CSS custom properties
- Backend: Supabase (auth + database)
- AI: API route for AI analysis
Current Capabilities (10 Modules)
| Category | Modules | Description |
|---|---|---|
| Core | Dashboard, Intelligence | SAI score dashboard with 5-dimension radar, AI-powered organizational intelligence |
| Strategy | Strategy | Strategic alignment tools, goal tracking |
| Operations | Operations | Operational health monitoring, process visibility |
| Growth | Growth (with sub-pages) | Growth Command Center — pipeline, campaigns, OKR tracking |
| Reporting | Reports | Generated reports, PDF export |
| History | History | Historical SAI trends, system-level audit trail |
| Alerts | Alerts | Threshold-based notifications, system misalignment warnings |
| Platform | Integrations, Settings, Team | Connectors, org settings, team/role management |
SAI Dimensions
- Process — Are workflows functioning or broken?
- Technology — Are tools effective or creating friction?
- Data — Is data reliable or inconsistent?
- Execution — Are teams executing or stalling?
- People — (implicit from team + operations)
API Routes
/api/sai— SAI score calculation/api/ai— AI-powered intelligence/api/friction— Friction detection engine/api/reports— Report generation/api/integrations— Third-party connectors (HRIS, ERP, PM tools)
Strengths
- SAI is a powerful concept — a single number for organizational health
- Clean dashboard — radar charts, dimension breakdown, trend visualization
- Growth module is well-built — pipeline tracking, OKR management
- Friction detection API — unique capability to identify system friction points
- Enterprise-grade UI — professional, data-dense, dark mode
Gaps
| Gap | Impact | Priority |
|---|---|---|
| No real organization data | SAI is calculated from mock data | Critical |
| Integration connectors are UI-only | Can't pull from Slack, Jira, HRIS, etc. | Critical |
| No RBAC (Role-Based Access) | Enterprise clients need permission tiers | High |
| No multi-org support | Can only handle one organization | High |
| Report generation is basic | Needs PDF export with branded templates | Medium |
Readiness: 🟡 Demo-Ready, Not Production-Ready
BI Suite looks enterprise-grade. The SAI concept is strong and differentiating. But it needs real data integrations (Jira, Slack, HRIS) to calculate SAI from actual organizational signals. Today it's a compelling demo.
Product 3: MarketPulse
What It Is
Consumer intelligence & market feedback loop engine. Measures market sentiment through the Consumer Sentiment Score (CSS) — tracks how the market feels about brands, products, and categories.
Positioning
"MarketPulse tells you what your market is thinking before they tell you. It feeds your decision system with consumer signals."
Tech Stack
- Frontend: Next.js (App Router), client-side rendering
- Backend: Supabase (auth)
- AI: API route for sentiment analysis
Current Capabilities (7 Modules)
| Category | Modules | Description |
|---|---|---|
| Core | Dashboard | CSS score with 6-dimension breakdown (Brand Sentiment, Customer Intent, Share of Voice, Emotional Tone, Competitive Position, Engagement Quality) |
| Sentiment | Sentiment | Sentiment analysis across sources — social, reviews, surveys |
| Competitive | Competitive | Competitor tracking, market share visualization |
| Intent | Intent | Purchase intent signals, demand forecasting |
| Campaigns | Campaigns | Campaign performance tracking, A/B testing |
| Platform | Integrations, Settings | Data source connectors, account settings |
CSS Dimensions
- Brand Sentiment — How does the market feel about you?
- Customer Intent — Are people ready to buy?
- Share of Voice — How visible are you vs competitors?
- Emotional Tone — What emotions does your brand trigger?
- Competitive Position — Where do you rank in the market?
- Engagement Quality — Are interactions meaningful or shallow?
API Routes
/api/css— Consumer Sentiment Score calculation/api/ai— AI-powered market analysis/api/sentiment— Sentiment data processing/api/competitive— Competitor intelligence/api/intent— Intent signal detection/api/campaigns— Campaign analytics/api/signals— Real-time market signal ingestion/api/integrations— Data source connectors
Strengths
- CSS is a unique concept — 6-dimension consumer sentiment scoring
- Signal-based architecture — designed to ingest real-time market signals
- Most API routes relative to its module count — well-structured backend
- Clean, focused UI — not bloated, each module has a clear purpose
Gaps
| Gap | Impact | Priority |
|---|---|---|
| No live data sources | No social media API integrations (X, Instagram, Reddit) | Critical |
| Signal ingestion is mock | /api/signals exists but no real data pipeline | Critical |
| No NLP/sentiment engine | Needs real ML model or API (e.g., OpenAI, AWS Comprehend) | High |
| Smallest feature set | Only 7 modules vs VeloDesk's 27 | Medium |
| No alerting system | Can't notify users of sentiment shifts | Medium |
Readiness: 🟠 Early Demo, Needs Significant Work
MarketPulse has the right architecture and the CSS concept is strong. But it's the earliest-stage of the 3 platforms — it needs real data ingestion and NLP capabilities to be useful.
Cross-Platform Comparison
| Dimension | VeloDesk | BI Suite | MarketPulse |
|---|---|---|---|
| Modules | 27 | 10 | 7 |
| Proprietary Score | PMF Score™ | SAI | CSS |
| Target User | Startup founders | Enterprise executives | Marketing / product teams |
| Auth | ✅ Supabase | ✅ Supabase | ✅ Supabase |
| Payments | ✅ Paystack + Stripe | ❌ | ❌ |
| AI Capability | ✅ API route | ✅ API route | ✅ API route |
| Real Data | ❌ Mock | ❌ Mock | ❌ Mock |
| UI Quality | ★★★★★ | ★★★★★ | ★★★★☆ |
| Production Ready | 🟡 Demo | 🟡 Demo | 🟠 Early |
Platform Priority for Phase 1
| Priority | Platform | Why |
|---|---|---|
| 1st | VeloDesk | Most complete, payment-ready, directly feeds Foundry BU leads |
| 2nd | BI Suite | Enterprise clients need to see it during ESRE™ engagements |
| 3rd | MarketPulse | Earliest-stage, lower priority until Edge BU is active |
What Each Platform Needs to Go Live
| Platform | Critical Path |
|---|---|
| VeloDesk | Real data ingestion (connect to actual analytics) → live PMF calculation → onboarding flow polish → payment flow testing → launch |
| BI Suite | Integration connectors (Jira, Slack, HRIS) → real SAI calculation → RBAC → multi-org → soft launch with first enterprise client |
| MarketPulse | Social media API integrations → NLP/sentiment engine → real CSS scoring → alert system → beta launch |