Multi-tenant AI sales SaaS unifying forecast, automation, revenue.


Revoa identified an opportunity to transform enterprise sales operations through automation, intelligence, and speed. MeetLabs supported the project end-to-end: strategic consulting, branding, UX/UI design, and full-stack development for a web and mobile platform, creating a scalable SaaS ecosystem powered by AI-driven sales forecasting and revenue optimization.
Revoa needed to redefine sales intelligence in fragmented enterprise ecosystems. Existing CRM tools lacked predictive capabilities and real-time insight, leading to slow decisions and pipeline inefficiencies. The company required a strong brand identity, a unified UX across web and mobile, and an AI-driven engine capable of converting complex sales data into actionable recommendations and faster deal cycles.
Strategic Consulting
Objective: Define a multi-tenant sales acceleration product for enterprise teams. We mapped Sales Development, Account Executive, Sales Manager, and Revenue Operations workflows, defined core loops for forecasting and pipeline control, scoped MVP modules, and set a roadmap to reduce operational noise and speed revenue execution.
Market Research and Business Strategy
Objective: Validate demand and differentiation against CRM and sales tools. We benchmarked enterprise sales stacks, identified where teams lose time and visibility, and translated findings into positioning, onboarding priorities, and adoption drivers aligned with measurable pipeline outcomes.
Brand Identity & Visual Strategy
Objective: Build an enterprise-ready SaaS identity for AI sales intelligence. We created a geometric brand system with disciplined typography and a clarity-first palette, ensuring consistency across product UI, decks, and marketing so Revoa feels credible from first touch to daily use.
UI/UX Design
Objective: Design role-based experiences that turn signals into actions. We designed dashboards and flows for each role, surfacing forecast changes, risks, and next steps with clear hierarchy, so teams can prioritize quickly and collaborate without jumping across tools.
AI-Powered Automation and Prototyping
Objective: Prototype AI behaviors for forecasting, risk detection, and action prompts. We tested recommendation logic, “Daily AI Actions” prioritization, and risk mitigation flows, validating how AI reduces manual analysis and helps teams move deals forward faster.
Development of Web App and Mobile App
Objective: Build a scalable web platform and mobile execution layer. We delivered a multi-tenant web app for forecasting, automation, and analytics, plus a mobile app for executive visibility, alerts, and task execution, keeping revenue work moving beyond the desk.
Database Architecture & Cloud Deployment
Objective: Support multi-tenant revenue data with performance and scale. We modeled accounts, pipelines, forecasts, activity signals, and audit trails, preparing cloud foundations for fast retrieval, reliable analytics, and growth across enterprise workspaces.
Backend Development & Integration Systems
Objective: Implement secure services and APIs for automation and integrations. We built backend modules for authentication, roles, forecasting engines, action queues, and API hooks, enabling consistent workflows and readiness for CRM, communication, and data-source integrations.
MeetLabs built Revoa as an AI-powered revenue operations ecosystem: an enterprise-grade brand system, a multi-tenant web app for forecasting, pipeline intelligence, and automation, and a mobile execution layer for executive visibility, alerts, and “Daily AI Actions.” The solution translates dense sales data into prioritized decisions, reducing response time, improving pipeline control, and accelerating revenue execution across teams.






1. Strategic Consulting
An in-depth analysis of enterprise sales operations, role-based workflows (Sales Development, Account Executives, Sales Managers, and Revenue Operations), and pipeline decision bottlenecks was conducted to define a differentiating value proposition centered on AI-driven forecasting and execution. This aligned Revoa’s scope with clear positioning and a scalable foundation for multi-tenant enterprise adoption.
2. Branding
Revoa’s branding translates high-velocity revenue execution into a structured, enterprise-ready identity. A geometric logomark signals precision, disciplined typography keeps dense metrics readable, and a clarity-first palette reinforces control. The system stays consistent across product UI, decks, and marketing, so Revoa feels credible from first impression through daily sales operations.
3. Web App
Revoa’s web app works as a revenue command center: forecasting, pipeline visibility, automation, and analytics in one multi-tenant workspace. Role-based navigation helps SDRs, AEs, managers, and RevOps act on the right signals fast. It turns dense revenue data into clear priorities, improving collaboration and execution across enterprise teams.
4. Mobile App
Revoa’s mobile app is built for on-the-go decisions: executive dashboards, deal-risk alerts, and a “Daily AI Actions” stream that prioritizes next steps. Teams can monitor forecast changes, assign actions, and unblock deals in minutes. With high-legibility metrics and guided workflows, it keeps revenue operations moving away from the desk.


Revoa consolidated forecasting, automation, and pipeline execution into one AI-powered SaaS built for enterprise teams. Through product strategy and role-based design, it improved visibility across revenue operations, accelerated decision-making, and strengthened brand credibility. The platform is ready to scale with deeper integrations, multi-tenant growth, and expanded AI-driven workflows.




| Font | Weights |
|---|---|
| Figtree – A clean and expressive typeface, adopted by the Meteorlabs branding team to support accessible UI design, consistent hierarchy, and a human centered digital presence | Bold Medium Regular |
The challenge was turning complex sales intelligence into daily execution without friction. MeetLabs translated that into an enterprise-ready, scalable SaaS ecosystem where teams can see what matters, act faster, and stay aligned. Next steps focus on predictive revenue analytics, broader API integrations, and expanding AI automation across additional modules.