We’re introducing Kanva, a platform built around a simple premise: the best predictions happen when human expertise guides the process.
Whether you’re a business analyst who understands customer behavior, an operations manager who knows production patterns, or a data scientist looking to scale your impact—Kanva gives you the tools to build, deploy, and understand predictive models.
The Problem We’re Solving
Predictive analytics has tremendous potential. But there’s a gap between what’s possible and what most organizations actually achieve:
- Talent scarcity: Data scientists are in short supply; most prediction projects never start
- Technical barriers: Traditional tools require programming expertise
- Black box syndrome: Models make predictions, but nobody can explain why
- Trust deficit: Stakeholders won’t act on predictions they don’t understand
The bottleneck isn’t algorithms. It’s accessibility. And the solution isn’t removing humans from the process—it’s putting domain experts in control.
What Makes Kanva Different
Interpretability First
Every model you build comes with explanations. See which factors drive each prediction. Understand what the model learned. Get natural language summaries that make explanations accessible to stakeholders.
When someone asks “why did the model predict that?"—you’ll have an answer.
Your Expertise Guides the Process
Unlike “push button, get prediction” tools, Kanva keeps you in the loop at every step. We believe domain expertise is irreplaceable. You know which patterns make business sense and which are noise.
We suggest. We recommend. You decide.
The Full Lifecycle
Kanva supports the complete journey in one platform:
- Ingest — Connect to your data sources
- Analyze — Understand data quality and patterns
- Engineer — Create features guided by domain knowledge
- Train — Build models with appropriate techniques
- Predict — Apply models to new data
- Interpret — Understand what’s driving predictions
No handoffs between tools. No context lost. One project contains everything.
Collaboration Built In
Prediction projects are team efforts. Kanva enables real-time collaboration with:
- Project-based organization
- Live progress updates as training runs
- Cross-platform access (desktop and web)
- Audit trails for governance
What You Can Predict
Kanva handles a range of prediction problems:
- Forecasting: Predict future values from historical patterns
- Classification: Predict which category something belongs to
- Regression: Predict numerical outcomes
- Clustering: Discover natural groupings in your data
- Anomaly Detection: Identify unusual patterns
Under the Hood
Kanva uses a hub-and-spoke architecture designed for reliability and scale:
- A central Hub coordinates operations in real-time
- Specialized agents handle data processing and model training
- A cross-platform client provides responsive access from desktop or web
- Real-time updates keep everyone informed
Your compute-intensive workloads scale independently. You see progress as it happens.
The Goal
We’re building toward a world where domain experts can build predictive models directly—not because prediction is simple, but because the right tools make expertise accessible.
The analyst who understands customer churn. The operations manager who knows production patterns. The marketing lead who sees campaign trends. They shouldn’t wait in a queue. They should build models themselves—and understand what those models learned.
That’s what Kanva enables.
Questions? Reach out at hello@human-driven.ai