Built by E-Commerce Engineers Who Know the Game
We're not marketers building software. We're developers with 15+ years in enterprise e-commerce, AI research, and large-scale systems—building tools that solve real problems we've seen firsthand.
Who We Are
Kepler was founded by developers and engineers who've spent their careers building e-commerce systems at scale. Our co-founder brings 15+ years of experience from enterprise environments, including work at Siemens on mission-critical systems. Other team members come from Vaimo—Finland's largest e-commerce development company—where they architected platforms processing millions of transactions.
We're not a startup that learned e-commerce last year. We've built custom checkout flows, integrated complex ERP systems, optimized conversion funnels for Fortune 500 brands, and debugged payment gateways at 3 AM. We understand e-commerce from the database layer to the customer experience—and everything in between.
When AI became sophisticated enough to genuinely help merchants (not just match keywords), we saw an opportunity. We had the technical depth to train models properly, the e-commerce expertise to know what actually matters, and the engineering discipline to build systems that scale. That's Kepler.
What We Bring to the Table
Advanced AI Orchestration & Engineering
We leverage the best AI models from OpenAI, Anthropic, and other leading providers—but the real complexity is in how we orchestrate them. When a customer sends a message, it triggers a multi-stage pipeline: one model analyzes intent and context, another retrieves relevant product data, a third crafts the response, and a fourth evaluates conversion opportunities. We've built custom fine-tuning layers, prompt engineering frameworks, and decision trees that make these models work specifically for e-commerce—not generic chat.
Enterprise E-Commerce Architecture
Our backgrounds include building platforms that handle hundreds of thousands of concurrent users, integrating with legacy ERP systems, and architecting checkout flows that process millions in revenue. We understand inventory management, order orchestration, payment processing, and the thousand edge cases that break most apps.
Real-World Merchant Pain Points
We've worked with merchants from $10K/month to $10M/month. We've seen what kills conversions, what drives support tickets, and what actually moves the needle on revenue. Kepler isn't built on guesses—it's built on patterns we've observed across hundreds of stores and thousands of customer interactions.
Systems That Scale
We've built infrastructure that serves millions of requests per day with sub-100ms response times. Kepler's architecture is designed to handle Black Friday traffic spikes, process thousands of concurrent conversations, and maintain performance under load. This isn't a side project—it's production-grade engineering.
How We Build
Every feature in Kepler is engineered from first principles. We use proven AI models from OpenAI (GPT-4), Anthropic (Claude), and others—but we've built sophisticated orchestration layers on top. A single customer message triggers multiple specialized processes: intent classification, context retrieval, product matching, response generation, and conversion optimization. Each step uses the optimal model for that specific task.
We've developed custom fine-tuning pipelines that train these models on millions of real e-commerce conversations (anonymized and aggregated). Our prompt engineering framework dynamically adjusts based on customer behavior, cart contents, browsing history, and dozens of other signals. We've built evaluation systems that measure response quality, conversion impact, and customer satisfaction—continuously optimizing which model handles which task.
The architecture is complex: when you ask about a product, we're simultaneously querying your Shopify inventory, analyzing the customer's profile, checking for relevant upsells, evaluating discount eligibility, and coordinating multiple AI models to craft the perfect response—all in under 500ms. That's the engineering challenge we've solved.
We also obsess over performance. Sub-second response times even with multi-model orchestration. Optimized database queries. Intelligent caching strategies. Edge computing for global latency reduction. The technical details that most SaaS companies ignore—we treat as core requirements.
What We're Building Next
We're currently integrating next-generation models from OpenAI and Anthropic with advanced reasoning capabilities. But the real innovation is in our orchestration layer—we're building systems that route different types of queries to the optimal model, combine outputs from multiple models for complex decisions, and fine-tune each model's behavior based on real conversion data from millions of transactions.
We're developing predictive analytics using custom machine learning models (built on top of established frameworks like PyTorch and TensorFlow) that forecast demand, identify high-value customers before they convert, and surface insights most merchants never see. These aren't generic AI models—they're trained specifically on e-commerce behavioral patterns and optimized for actionable recommendations.
We're also expanding our multi-agent architecture: specialized AI models for product recommendations (using embeddings and vector search), customer support (fine-tuned GPT & Claude), upselling (custom decision trees + AI), and sentiment analysis (specialized NLP models)—all coordinated by a master orchestrator we've built. When a customer interacts with Kepler, they're actually talking to 4-6 different AI systems working in concert. That's the kind of architecture you'd see at Amazon or Shopify themselves, but we're making it accessible to individual merchants.
And we're expanding our infrastructure globally—edge nodes in every major region, intelligent model routing to reduce latency, and the ability to handle 100,000+ concurrent conversations across multiple AI providers without breaking a sweat. We're building for scale that most apps will never need, because we know some of our merchants will get there.
What You Can Expect From Us
Honest pricing
No hidden fees, no surprise charges, no "contact sales for pricing." What you see is what you pay.
Real support
Email us, and you'll get a response from someone who actually built the product. No chatbots (ironic, we know), no outsourced support teams.
Continuous improvement
We ship updates every week. Sometimes it's new features, sometimes it's bug fixes, sometimes it's just making things faster. We're always working to make Kepler better.
No BS marketing
We're not going to claim Kepler will "10x your revenue" or "revolutionize your business." It's a good tool that does what it's supposed to do. That's it.
Why "Kepler"?
Johannes Kepler was a 17th-century astronomer who figured out how planets move. He took messy, complicated data and found the simple patterns underneath. That's kind of what we're trying to do with e-commerce—take all the complexity and make it simple and predictable.
Plus, it sounds better than "AI Chatbot App #47."
Want to See If It Works for You?
We offer a free trial. No credit card required. Install it, test it with real customers, and see if it actually helps. If it doesn't, uninstall it. No hard feelings.