What We Deliver
Our AI integration philosophy: Be pragmatic and outcome-focused. We start with strategic planning together, design human-focused AI experiences that make your customer interactions more intelligent, streamlined, and effective. For technology leaders evaluating AI initiatives, we focus on solutions that solve real business problems with measurable ROI, avoiding AI for AI's sake.
Why Choose Us for AI Development in Dayton, Ohio?
Your Dayton-Area Development Partner
We’re not a remote agency dropping a pin on Dayton—we have team members who live and work in the Dayton metro area, and our Cincinnati headquarters is just 30 minutes down I-75.
Close Enough to Be Neighbors
- 30 minutes away - Our Mason, Ohio headquarters is a quick drive from downtown Dayton
- Team members in the area - Dayton-area engineers are part of our distributed team
- In-person when it matters - Workshops, kickoffs, and reviews without the travel hassle
- Same timezone, same values - Midwest work ethic, no overseas delays
Dayton’s Innovation Heritage
Dayton has always been a city of builders and inventors—from the Wright Brothers to the research labs at Wright-Patterson Air Force Base. We share that spirit. Since 2011, Atomic Robot has been building software that solves real problems for real businesses.
University Partnerships
We invest in the region’s next generation of technologists:
- University of Dayton - Partnership supporting CS and engineering students
- Miami University - Oxford, Ohio—just down the road from Dayton
- University of Cincinnati - Strong internship program building next-gen talent
Community Involvement
Gem City Tech Our Dayton-area team members are active in Gem City Tech, Dayton’s hub for technology meetups and community building.
Ohio DevFest Annual sponsor and speaker at Ohio’s premier developer festival, connecting with developers across Southwest Ohio.
Momentum Developer Conference Supporting software craftsmanship in the region through speaking and sponsorship.
GDG Cincinnati Leading the Google Developer Group that serves developers throughout Southwest Ohio, including the Dayton metro.
Proven Track Record
Our clients include organizations Dayton businesses know and respect:
- Kroger - Partner since 2017, building mobile experiences for millions
- Procter & Gamble - CES Innovation Honoree work
- Sporty’s Pilot Shop - Batavia, Ohio aviation education (fellow aviation enthusiasts will appreciate this one)
- SentriLock - West Chester, Ohio real estate technology
Why Choose a Local Partner?
When you work with Atomic Robot, you get:
- 13+ years building software in Southwest Ohio
- Fortune 500 trust - Kroger and P&G rely on us for mission-critical apps
- 100+ apps shipped across industries
- Local accountability - We’re part of your community, not a faceless vendor
Get in Touch
- Headquarters: 5155 Financial Way, Suite #10, Mason, OH 45040 (30 minutes from downtown Dayton)
- Phone: +1 513-716-1602
AI Insights from Our Team
Our engineers share practical AI knowledge from real-world projects.
On-Device OCR on Android with ML Kit Text Recognition v2 and CameraX
A step-by-step guide to building a real-time VIN scanner using ML Kit Text Recognition v2, CameraX, and Jetpack Compose. Includes the full POC repo, backpressure strategy for live scanning, and VIN validation with check-digit verification.
Prompt Injection on Gemini Nano: How We Stopped It
We attacked Gemini Nano with prompt injection — it worked. The model's safety training made it too trusting. Here's our defense-in-depth approach to hardening on-device AI.
AI Writes Better Code. We're Getting Worse at Reviewing It.
AI moved the hard part from writing to reviewing. The vigilance failures plaguing pilots and radiologists now hit code review. Here's how teams can adapt.
Fixing Gemini Nano's Accuracy with a Bigger Model
Nano misclassified foods and was case-sensitive. We used Gemini Pro to rewrite the prompt — with prefix caching, inference hit 1.0s. Results inside.
The AI Context Reset That Catches Real Bugs 1 in 3 Times
We refine code iteratively in one AI session, then reset context for a fresh review. That simple trick surfaces a meaningful bug roughly once every three sessions.
Building an On-Device AI App with Gemini Nano in Kotlin
We classified pantry items on-device with the ML Kit GenAI Prompt API — zero cloud costs, offline support. Structured JSON output ran in 1.36s vs 5.9s for freeform. Full Kotlin source and device compatibility list.