Our process - How we work
We are on a mission to make the AI industry easier to understand. We've created a simple process to help decision-makers, developers, and investors choose the right AI tools and companies. Our process has three main steps:
- Explore and Assess
- Investigate and Evaluate
- Get Insights
This approach helps us find, sort, and understand AI projects and partners. It gives you a deeper understanding than just looking at the surface.
Explore and Assess
In the first step, "Exploration," our team uses a diverse set of tools to find good AI startups, tools and products.
We search the web and read industry news to make a list of possible startups. We also use LinkedIn to get useful info and tips from our connections.
We go to industry events to find new AI companies. This helps us learn about the latest AI developments. The "Discover" step helps us understand new companies better before we look at them more closely.
Included in this phase
- Market Research
- Social Network Intelligence
- Event-Based Discovery
- Emerging Players
- Industry Insight
Investigate and Evaluate
Next, in the "Investigate & Evaluate" step, we carefully check how trustworthy and well-known the AI projects and partners are.
For open-source projects, we check how real and strong their community is. Our experts write test code and try it out using the project's materials to see how well it works.
We also talk directly with the founders and project leaders. This helps us understand the startup's goals and plans better. By doing all this, we make sure we really know the startup well before making any decisions.
Included in this phase
- Open Source Verification
- Code Evaluation
- Founder Interviews
- Strategic Assessment
- Practical Testing
Get Insights
In the final "Insights" step, we take all the info we've gathered and turn it into useful knowledge.
We provide helpful insights to people who make decisions, developers, and investors. This includes more than just numbers. We offer advice, look at trends, and compare different options to help them make smart choices.
The "Insights" step isn't just about collecting data. We turn the information into a useful tool. The end result is a custom AI Landscape that helps people choose the right AI tools and companies for what they want to do.
Included in this phase
- Strategic Insights
- Trend Analysis
- Comparative Evaluation
- Decision Support
- Tailored Recommendations
Our values - Helping Developers, Making AI Better
- 1. Developer-Centricity. We empower software developers to turn ideas into reality with tools, resources, and guidance tailored to their needs.
- 2. Practicality Over Theory. We prioritize actionable solutions over abstract ideas, helping you bridge the gap between AI concepts and production-ready applications.
- 3. Innovation in AI. We believe in pushing boundaries and equipping developers to build agentic software that transforms industries.
- 4. Community and Collaboration. We are building a thriving ecosystem where developers learn, share, and grow together.