Ship AI that moves metrics, not slides.
Joshisoft is an AI software consulting + product studio founded by engineers from Meta AI and Google. We build production-grade AI systems end-to-end with serious engineering rigor and product sense.
Our team has built at
Meta AI
Google ML
Optiver
Jane Street
Susquehanna
Fidelity Investments
Amazon
AWS
IMC Trading
Five Rings
Roblox
General Motors
Bosch
Capital One
Michigan AI Lab
Stanford AIMIWhat we do
Full-stack AI development with an evaluation-first mindset. From prototype to production.
AI Product Development
End-to-end feature design and build. From product spec to production deployment, with user research and iteration baked in.
RAG + Search Systems
Evaluation-driven retrieval tuning. Vector DBs, hybrid search, re-ranking, and citation grounding that actually works.
Automation + Agents
Workflow orchestration with tool calling, guardrails, and human-in-the-loop patterns. Agents that ship, not demo.
ML Engineering
Training, fine-tuning, inference optimization. PyTorch pipelines with proper eval, versioning, and reproducibility.
Web & Mobile Apps
Full-stack web and mobile applications with AI integration. Next.js, React Native, iOS, and Android with seamless backend connectivity.
Database & Cloud
Scalable database architecture and cloud infrastructure. PostgreSQL, MongoDB, Redis, with AWS, GCP, and Azure deployment and optimization.
Selected projects
Real products built with real constraints. From concept to production.
Milieu
Problem
Local businesses needed a robust platform to connect with their community and manage operations through data.
Approach
Built core product infrastructure, payments data logic, survey collection systems, auth, and Stripe integrations.
Outcome
Delivered a complete operational engine including internal tooling for platform management.
OnDesk
Problem
The platform needed to transition from a prototype to a production-ready, scalable enterprise product.
Approach
Product-ized the core offering and built out a robust IAM (Identity and Access Management) permissioning system.
Outcome
Enabled granular access controls and enterprise-grade security for institutional users.
Volcone
Problem
A gap in communication and technical requirements between international development teams and American customers.
Approach
Acted as the technical orchestrator and product manager, translating customer needs into engineering specs.
Outcome
Successfully bridged the gap to deliver a product that met American market expectations.
How we work
A structured process with clear deliverables at every stage.
Discovery + KPI Definition
Understand your problem space, define success metrics, and scope the engagement.
Prototype + Evaluation Harness
Build a working prototype with an evaluation framework to measure quality.
Production Build + Observability
Harden the system for production with proper monitoring and iteration.
Optimization + Roadmap
Continuous improvement based on real-world performance and user feedback.
Rigor you can audit
Every system we build comes with the engineering practices you'd expect from top tech teams. No shortcuts, no tech debt handoffs.
- Eval-first development with baseline metrics
- Full tracing and observability (not just logs)
- Data privacy and security by design
- Cost controls and usage monitoring
- CI/CD with automated testing
- Documentation and runbooks included
What partners value
Working with us means getting these things right from day one.
“Speed without sacrificing quality”
Ship in weeks, not quarters. But with proper evals, tests, and monitoring.
“Clarity on metrics and tradeoffs”
No black boxes. Clear documentation on what we're optimizing and why.
“Production readiness from day one”
Code that scales. Observability built in. Runbooks included.
Engagement models
Fixed scope, transparent pricing after discovery. Choose the model that fits your needs.
Sprint
2 weeks
Rapid prototype or proof-of-concept to validate an AI feature or approach.
- Problem scoping + architecture
- Working prototype
- Evaluation framework
- Technical documentation
- Go/no-go recommendation
Build
6 weeks
Full production implementation of an AI system, from spec to deployment.
- Everything in Sprint
- Production-grade code
- CI/CD + monitoring
- API documentation
- Deployment + handoff
- Two iterations post-launch
Retainer
Monthly
Ongoing partnership for continuous improvement, scaling, and roadmap support.
- Dedicated hours/month
- Priority response
- A/B testing + optimization
- Cost/performance tuning
- Quarterly roadmap reviews
- Team enablement
Ready to ship?
Let's talk about your AI project. 20 minutes to understand your problem and see if we're a good fit.
Prefer async? Email your problem statement and we'll respond within 24 hours.