Tomko & Company collaborates with industry experts to create AI-native software tailored to specific sectors. Leveraging deep product and engineering expertise, they co‑develop solutions such as Civil for engineering, Penny for finance, Haven for hardware, and Mila for memory applications. This partnership model enables the delivery of specialized, data‑driven tools that neither party could build alone.
Funding
Funding not disclosed
Founders
Product
Problem
Many industry sectors lack AI-native software that integrates deep operational expertise with modern product engineering, resulting in limited automation, inefficiencies, and missed opportunities for advanced analytics.
Solution
Tomko & Company partners with domain experts to co‑develop AI-native applications that embed sector‑specific knowledge directly into the software stack. By combining the partner’s operational insight with Tomko’s decades of product and engineering experience, the joint teams create solutions that neither could build alone. The collaboration follows a structured partnership model: the expert defines critical use cases and data flows, while Tomko designs, trains, and deploys AI models and the surrounding application architecture. Delivered solutions are packaged as ready‑to‑use products for targeted verticals, enabling faster time‑to‑market and immediate value capture for the partner’s business.
Target Audience
Primary customers are established companies and domain experts in engineering, finance, hardware, memory management, home automation, and software development seeking AI-driven solutions tailored to their specific operational needs.
Features
- Co‑development framework that aligns industry expertise with AI model design and product engineering
- Portfolio of vertical‑specific AI-native products (e.g., Civil 0.3 for engineering, Penny 0.4 for finance, Haven 1.0 for hardware, Mila 2.3 for memory management, Alfred 0.1 for home, Roger 0.5.3 for software, HavenOS 0.5.1 runtime)
- Customizable AI pipelines that incorporate partner data, domain rules, and operational workflows
- End‑to‑end delivery including model training, integration, testing, and deployment on partner infrastructure
- Ongoing support and iterative improvement cycles driven by joint performance monitoring