Build the

Intelligence Pipeline.

Join a global team of builders, thinkers, and problem-solvers
creating intelligence that moves businesses forward.

Work With Global Clients

You will work with fast-growing startups, global scale-ups, and transformation-led enterprises.

Project-Based Hiring

Flexibility to join project-by-project and work on high-impact initiatives without long-term lock-in.

Top Compensation

We pay premium rates, and in certain cases offer a percentage of the project’s revenue.

Freedom & Upskilling Culture

We hire people who value freedom. Use your downtime to upskill, experiment, and sharpen your craft—making your project work even more impactful.

Technology-Agnostic

We value outcomes over solutions & technology.

  • “We don’t force a tech stack.”
  • “We choose the tech that gives clients the most optimal solution.”
  • “You can work across any technology—even ones you’re still learning.”
  • “We encourage on-the-job learning and provide premium AI tools to support you.”

Premium AI Subscriptions Provided

Team members get access to advanced AI tools to deliver their best work every time.

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Target Roles

Select your mission.

Expertise

Business Analysis, KPI Definition, Industry-Specific Logic (Finance, Retail, Mfg), Roadmap Planning.

Expectations

Strategic thinking, stakeholder management, and the ability to define "value" before code is written.

Expertise

Training Delivery, Documentation, User Adoption Metrics, Communication Strategies.

Expectations

Empathy, persuasion, and a passion for teaching others how to leverage data in their daily work.

Technical Stack

Power BI, DAX, Tabular Editor, SQL, Microsoft Fabric, Power BI Service, Figma, data modeling

Expectations

Strong ownership of business metrics, performance-optimized semantic models, intuitive dashboard design, and the ability to translate complex business questions into decision-ready insights.

Technical Stack

Power Automate, Logic Apps, UiPath, APIs

Expectations

Process-first mindset, reliability, reusability, and delivering measurable time and cost savings through automation.

Technical Stack

Azure OpenAI, Copilot Studio, Semantic Kernel, Python, vector databases

Expectations

Practical AI thinking, secure data interaction, explainability, and delivering AI solutions that augment—not replace—human decision-making.

Technical Stack

Python, scikit-learn, XGBoost, Azure ML, Fabric Notebooks, MLflow, Databricks ML (when required)

Expectations

Business-driven modeling, explainable outputs, disciplined experimentation, and seamless integration of ML outputs into BI and decision workflows.