Nova Beans AI helps engineering organizations go from experimenting with AI to systematically shipping faster, with measurable results across the entire development lifecycle.
Sound familiar?
Everyone uses different AI tools differently. No shared workflows, no best practices, no consistency across the team.
Engineers don't trust AI-generated code enough to ship it — or they trust it too much and skip reviews.
Leadership bought licenses for Copilot or similar tools. Six months later, nobody can prove it made a difference.
We embed with your engineering team and transform how they build — not just which tools they use.
We audit your development lifecycle end-to-end and deliver a prioritized roadmap showing exactly where AI will — and won't — accelerate your team.
Project-based workshops tailored to your stack. Engineers learn prompt engineering, AI-assisted debugging, and code generation by building real features.
We wire AI into your CI/CD, code review, testing, and documentation workflows — so it's not a sidebar experiment, it's how your team operates.
Clear guidelines for IP risk, security review of AI-generated code, when not to use AI, and compliance-safe adoption across your engineering org.
A proven 4-phase approach to making AI a force multiplier — not a distraction.
Map your team's AI maturity, workflows, and pain points with our AI Readiness Score.
Build a custom adoption roadmap matched to your stack, team structure, and goals.
Hands-on training and workflow integration. Your team ships real features with AI from day one.
Measure outcomes, refine processes, and scale AI practices across the organization.
We don't just teach AI-accelerated development — we live it. These production-grade platforms were built in ~3 months using the same AI workflows we bring to your team.
Full-stack restaurant management platform with order processing, menu management, kitchen display systems, and real-time analytics. Built with NestJS + Next.js + RxJS reactive architecture.
Universal dispatch platform for fleet management, real-time driver tracking, route optimization, and automated dispatching across delivery, ride-share, and service industries.
Comprehensive university management system with student verification, course management, grade tracking, and institutional analytics. Deployed at Shaggar Institute of Technology.
Criminal Records Information Management System featuring a 7-module Django workflow engine for crime registration, investigation management, and cross-agency reporting.
Multi-tenant church community management platform with custom Ethiopian calendar engine, fasting logic, member management, finance tracking, and diaspora engagement tools.
AI-driven hybrid credit rating and fraud risk system using graph-based fraud detection, ML scoring models, and integration with Ethiopian banking infrastructure.
Case management, client intake, document automation, billing, and court scheduling for Ethiopian law firms. Built in partnership with Makuta Law Firm.
Automated vehicle gate access system with license plate recognition, visitor management, resident database, and real-time entry/exit logging.
Founder & CEO, Nova Beans AI
Anteneh doesn't just advise teams on AI-accelerated development — he's proven it works by shipping 8 production-grade platforms in approximately 3 months using the same AI workflows Nova Beans brings to your team.
By day, he leads AI enablement at JPMorgan Chase, helping enterprise development teams adopt AI tools and workflows to measurably increase engineering performance. His work sits at the intersection of hands-on software engineering and organizational AI transformation — the exact combination Nova Beans was built to deliver.
Dr. Masresha holds a PhD in Artificial Intelligence from Capitol Technology University, with his doctoral research focused on AI/ML-based financial fraud detection in Ethiopia's banking sector. His research-grade expertise gives Nova Beans a foundation that separates it from consultancies running on hype alone.
Real outcomes from teams that made the shift.
“Nova Beans cut our PR review time in half. Our engineers went from skeptical about AI to refusing to code without it in three weeks.”
“We'd been paying for Copilot licenses for months with nothing to show. Nova Beans gave us the playbook to actually use it. ROI was clear within one sprint.”
“The AI Governance framework alone was worth the engagement. We went from zero policy to enterprise-ready compliance in two weeks.”
If you're responsible for developer productivity or engineering velocity, this is for you.
We deliver measurable ROI data — time saved per sprint, reduction in review cycles, quality metrics — so you can prove the investment to the board.
We standardize AI workflows across your team, establish shared best practices, and train every engineer to the same baseline of AI fluency.
We replace ad hoc experimentation with a structured rollout plan — phased, measured, and tailored to your organization's risk tolerance.
Weekly insights on AI-assisted development — practical techniques, tool reviews, benchmarks, and case studies from the trenches. No hype, just what works.
Start with a free 30-minute AI Readiness Assessment. We'll evaluate where your team stands and show you the fastest path to measurable results.