Software Sushi

Software Sushi is a U.S.-based AI and data engineering consultancy helping startups and enterprises move beyond prototypes and deploy AI systems that operate reliably in production. Our work spans machine learning, LLMs, and data platforms designed for security, scalability, and long-term ownership. We are AWS-first by design, with experience supporting Azure and GCP environments when needed. WHAT WE BUILD Production AI and LLM platforms (AWS-first) Secure data ingestion, feature pipelines, and ML systems Risk, fraud, forecasting, and decision systems in live use Intelligent automation and document AI NLP and computer vision integrated into real products SCALE AND COMPLEXITY We build and operate production systems that handle large volumes of structured and unstructured data, support live decisioning, and run as part of critical business workflows. Our work includes multi-service architectures, monitoring, failure recovery, and long-term operational ownership. SELECTED CLIENT REFERENCES (PUBLIC DOMAINS) NAL Technologies – naltech.com Insurate – insurate.com TYPICAL WORK Production AI platforms | ML and LLM systems | Secure data pipelines | Decision and risk models | Intelligent automation ENGAGEMENT SIZE 50k-200k+ production builds, multi-month, senior-led Note: Many of our larger enterprise engagements are long-running or private and are not fully reflected in public work history. HOW WE WORK We work closely with internal product, data, security, and IT teams to design systems that fit real organizational constraints and governance requirements. We start with business objectives and structure discovery, validation, and delivery around production deployment and long-term operation. DISCOVERY AND PROTOTYPE ENGAGEMENTS We offer short, fixed-scope discovery or prototype engagements to validate feasibility or inform a production roadmap. Clearly scoped and time-boxed. Non-production by design. Focused on answering specific technical questions. Typical scope: 10k-25k over 2-6 weeks. WHY CLIENTS WORK WITH US Production-first mindset Senior engineers only, no junior bait-and-switch Clear technical leadership and honest guidance AWS-aligned architectures and delivery Multi-cloud experience: AWS primary, Azure and GCP as needed Regulated-data experience aligned with HIPAA and CJIS requirements COMPLIANCE AND SECURITY EXPERIENCE HIPAA-aligned architectures CJIS-aware environments Secure handling of PHI, PII, and sensitive data Access controls, encryption, and audit logging GOOD FIT IF YOU Are deploying AI into a real product or operational workflow Care about security, scalability, and maintainability Want a technical partner who can lead, not just execute NOT A FIT IF YOU Want throwaway demos or the lowest bid Are not ready to invest in production-quality systems If you are deploying AI in production or want a structured way to validate an idea before scaling, we should talk.