We are a tight-knit studio of software engineers, applied scientists, and finance professors. We design and ship production-grade AI systems that solve real-world business and research problems — from intelligent document workflows and research infrastructure to conversational agents that take action.
We partner with companies, organizations, and research teams to build AI-powered systems that automate complex workflows, surface insights from unstructured data, accelerate research, and put intelligent agents to work where they matter most. Every engagement starts with the problem — not a pre-built solution.
LLM-powered scoring, classification, and content generation tailored to your domain data.
Conversational and task-driven agents that integrate with real-world systems — ordering, scheduling, and more.
End-to-end pipelines that scrape, enrich, score, and act on data — replacing manual workflows with AI.
AI tools, research software, data pipelines, and computational workflows for universities, laboratories, professors, and research teams — from prototype to reproducible research infrastructure.
We are a cross-disciplinary group that bridges the gap between research and production. Our engineers build systems that scale. Our scientists design models grounded in real data. Our finance professors bring academic rigor, quantitative expertise, and deep experience in risk, pricing, econometrics, and decision-making under uncertainty.
Full-stack and infrastructure engineers who ship reliable, production-grade systems. Cloud-native architecture, CI/CD, and the unglamorous plumbing that makes AI actually work.
ML and NLP specialists who turn research into deployable models. From fine-tuning LLMs to building evaluation frameworks — always grounded in measurable outcomes.
Finance professors with expertise in quantitative research, risk modeling, pricing, econometrics, optimization, and financial systems. They bring academic rigor and structured analytical thinking to the decision frameworks we build.
Client confidentiality is foundational to how we operate. Below are representative examples of the types of systems we build — details have been generalized to protect our clients.
Built an intelligent cloud printing platform with AI-driven document classification, cost allocation, and usage analytics. The system automatically categorizes print jobs, enforces department-level budgets, and surfaces cost-saving recommendations — replacing a manual process that previously required a dedicated operations team.
Designed and deployed a conversational AI agent for a caregiving organization. The assistant handles everyday questions, places food orders to partnered community restaurants, and submits maintenance work orders to the local caregiver center — all through natural conversation. Built with safety guardrails and escalation paths for sensitive situations.
Created an autonomous agent that navigates industry portals, discovers and profiles thousands of companies, scores them using AI with live web research, and drafts personalized outreach — compressing weeks of analyst work into hours. Includes a human-in-the-loop approval step before any external communication.
We never share client identities, data, or project details without explicit permission. Confidentiality is built into our contracts, our infrastructure, and our culture.
We deliver working systems early and improve them continuously. A good system running in production beats a perfect system in a slide deck.
AI should augment human judgment, not replace it. We design approval gates and override mechanisms into every autonomous workflow.
Every project is staffed by a cross-functional team that owns the problem end-to-end — from data pipeline to deployed product.
Have a problem that might benefit from AI? We'd love to hear about it. Reach out and we'll set up a confidential conversation.
shodai.infra@hotmail.com