SaaSWise
AI-powered SaaS intelligence for founders and product teams.
What SaaSWise does.
SaaSWise is a SaaS intelligence platform that replaces a stack of separate research and analytics subscriptions with one predictive layer. Founders validate an idea, size the demand, watch competitors across app stores and the web, and get growth recommendations from the same dataset, before and after they build.
The product ships as five modules: Idea Qore for validation and demand forecasting, App IQ for iOS and Android store analytics, Web IQ for traffic and SEO intelligence, Wise AI for research and content automation, and Growth IQ for conversion and ROI analytics.
| Detail | Value |
|---|---|
| Stage | Seed |
| Category | Applied AI |
| Year | 2026 |
| Website | saaswise.io |
| Founded | 2025 |
| Raised | $2M |
| Model | Self-serve subscription from $29 per month, 14-day trial, no card required. |
| Measured by | Paying subscribers, trial-to-paid conversion, net revenue retention, annual recurring revenue in USD. |
The thesis behind SaaSWise.
Most software companies fail on a question that is answerable before the first line of code: is anyone actually looking for this. The tools that answer it (keyword and traffic research, app-store intelligence, product analytics) are sold separately, priced for enterprise teams, and report on what already happened. A founder who wants the full picture pays for five subscriptions and stitches the exports together by hand.
SaaSWise collapses that stack into one platform and makes it predictive rather than retrospective. Pricing starts at $29 a month, which puts the whole suite inside the budget of the customer who needs it most and is priced out of the incumbents.
This is the shape we look for. The buyer is global and pays in hard currency through self-serve checkout, so distribution does not depend on a local market. The build advantage is real engineering leverage: a machine-learning pipeline on NVIDIA CUDA and PyTorch running transformer models for research, demand prediction and recommendations, staffed at Pakistani cost against San Francisco competitors. And the wedge is narrow: validation first, then the customer grows into the analytics and growth modules.
Who is building it
Founded in 2025. Around thirty people across machine learning, product engineering, data and growth, building from Pakistan and selling to founders, startups and product managers worldwide.
- Shafqat Ullah Founder & CEO
- Sajid Aslam CTO
Building something similar?
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