
AI Automation
Document processing, workflow orchestration, decision support, and cross-system automation built around your business logic.
Explore AI AutomationWe 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.
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.
Custom LLM applications, predictive models, and automation integrated into real business infrastructure, not demos or wrappers.

Document processing, workflow orchestration, decision support, and cross-system automation built around your business logic.
Explore AI Automation
Fine-tuned models, RAG pipelines, and complete LLM applications grounded in your data and integrated into real workflows.
Explore LLM Development
A clear feasibility assessment, architecture recommendation, and build plan before you commit meaningful budget.
Explore AI & ML Consulting
Connect AI to the CRM, product data, APIs, and workflows your team already uses without replacing what already works.
Explore AI Integration
Built around your data and constraints, from system architecture and models through deployment on infrastructure you control.
Explore Custom AI Development
Predictive models and causal inference systems that hold up on real-world data, from forecasting to anomaly detection.
Explore Custom Machine Learning DevelopmentThese are reported case-study figures from selected published write-ups.
Infrastructure matched to actual usage, with monitoring to prevent drift.
Cloud infrastructure · Reported case-study resultAutomated scheduling and more inspections per day.
Field operations · Reported case-study resultProduction planning tailored to each flavor’s seasonality and demand.
Demand forecasting · Reported case-study resultMost 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.
Clear answers about scope, ownership, integration, and production delivery.
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.
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.
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.
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.
Yes. We are HIPAA compliant and have experience designing infrastructure around data sovereignty, privacy, and compliance requirements from the beginning of an engagement.
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.
If you are deciding whether to build an AI system, we can help you identify the right next step.