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Production AI & ML Engineering

Custom AI and ML systems, engineered for production.

We are an AI and machine learning development company with 14 years building custom LLM systems, ML models, and AI automation for startups and growth-stage businesses. No off-the-shelf wrappers. Production-grade systems built to last.

  • 14 yearsbuilding production systems
  • End to endmodels, product, and cloud
  • Built to lastsupport beyond launch

Certifications and clients

Team certifications

Selected clients

A long-term engineering partner

Built to Last, Not Just Launch

Choosing an AI development partner is a long-term decision. The system you build today will need to be maintained, updated, and scaled. The team building it needs to understand your business, not only your tech stack.

Software Sushi has been doing this since 2012. We specialize in large language models, GPU-optimized inference, and custom automation, with experience across insurance, logistics, manufacturing, IoT, and healthcare. We are AWS certified, Databricks certified, and HIPAA compliant.

Every engagement is scoped with production in mind from day one. We stay involved after launch and measure success by how deeply the system becomes part of the way your business operates.

Since 2012Deep engineering experience
Production firstArchitecture before demos
Long-term ownershipOperate, measure, and improve
What we build

Hard AI and ML problems, engineered as complete systems

Custom LLM applications, predictive models, and automation integrated into real business infrastructure, not demos or wrappers.

01

AI Automation

Document processing, workflow orchestration, decision support, and cross-system automation built around your business logic.

Explore AI Automation
02

LLM Development

Fine-tuned models, RAG pipelines, and complete LLM applications grounded in your data and integrated into real workflows.

Explore LLM Development
03

AI & ML Consulting

A clear feasibility assessment, architecture recommendation, and build plan before you commit meaningful budget.

Explore AI & ML Consulting
04

AI Integration

Connect AI to the CRM, product data, APIs, and workflows your team already uses without replacing what already works.

Explore AI Integration
05

Custom AI Development

Built around your data and constraints, from system architecture and models through deployment on infrastructure you control.

Explore Custom AI Development
Selected published case studies

Reported results from selected published case studies

These are reported case-study figures from selected published write-ups.

Conceptual resource audit: idle compute, unattached storage and oversized resources are reviewed, right-sized and monitored.
62%cloud spend reduction

Infrastructure matched to actual usage, with monitoring to prevent drift.

Cloud infrastructure · Reported case-study result
Read the case study
Conceptual scheduling workflow: technician availability, locations and inspection requirements feed assignment, route optimization, dispatch and calendar sync.
15hsaved per week

Automated scheduling and more inspections per day.

Field operations · Reported case-study result
Read the case study
Conceptual model selection: historical production and sales feed five candidate architectures per flavor, followed by backtesting and selection.
27%less production waste

Production planning tailored to each flavor’s seasonality and demand.

Demand forecasting · Reported case-study result
Read the case study
One team, full ownership

We Build More Than Models

Most AI systems fail at the integration layer, not the model layer. When the model team and product team are separated, requirements get lost, integration becomes fragmented, and nobody owns the finished system.

We build the frontend applications, backend systems, mobile apps, data pipelines, and cloud infrastructure required to turn machine learning into products people actually use. The entire system lives under one roof.

2012Building since
20+Engineers
8 yrLongest client partnership
4Countries
Frequently asked questions

What teams ask before we build

Clear answers about scope, ownership, integration, and production delivery.

What does an AI and ML development company actually build?

We build custom machine learning models, LLM systems, AI automation workflows, data pipelines, and production applications where AI is a core capability rather than a feature added later.

What certifications and partnerships does your team hold?

Team certifications, platform partnerships, and HIPAA compliance are separate. Team certifications are recorded across AWS, Azure, Databricks, Make, and Google Cloud. Software Sushi is an AWS Select Tier Partner, a Databricks Partner, and a Google Cloud partner. HIPAA compliance is a distinct practice, not a team certification or a platform partnership.

Do you only build AI systems, or full products?

Both. AI and machine learning are our specialty, and we also build the frontend, backend, mobile, cloud, and data infrastructure required to operate the complete product.

What kinds of companies do you work with?

We primarily work with startups and growth-stage companies, from founders validating technical IP to scaling teams putting production systems in place. We also support focused enterprise AI and ML engagements.

Do you work with companies in regulated industries?

Yes. We are HIPAA compliant and have experience designing infrastructure around data sovereignty, privacy, and compliance requirements from the beginning of an engagement.

Can you work with our existing systems and infrastructure?

Yes. Most engagements integrate with existing platforms, databases, and tools. We assess what is already in place before recommending what should change and what should stay.

Start with a clear decision

Ready to Build Something That Lasts?

If you are deciding whether to build an AI system, we can help you identify the right next step.

Book a Discovery Call