Engineering studio for AI systems, custom software, and data platforms

Build faster without inheriting fragile software

AI can accelerate the build. It does not replace architecture, security, QA, or ownership.

Solutyics prototypes, rescues, and delivers AI systems, custom software, ERP, SaaS, mobile apps, and data platforms, with production-ready architecture, maintainable code, and clear handover.

The shift

Generated code still needs engineered ownership

AI can make the first version appear faster. The real work is turning that speed into systems that are secure, maintainable, and safe for teams to inherit.

Client-owned code

The system, documentation, and delivery knowledge stay usable after handover.

Private workflows

We design around sensitive data, internal process, and operational access from the start.

Production handover

Architecture, QA, deployment notes, and support paths are part of the work, not an afterthought.

Remote-ready delivery

Clear specs, review rhythms, and visible progress keep distributed teams aligned.

Capability map

What are you trying to move?

Start with the operating problem, then choose the service path. Every link remains static, crawlable, and specific.

Technology

A practical stack, chosen around the system

We select tools around maintainability, deployment constraints, data sensitivity, client ownership, and the operating team that will inherit the system.

AI systems

LLM applications, RAG, agents, copilots, model integration, evaluation, and applied computer vision.

OpenAI Anthropic Gemini Llama Hugging Face LangChain LlamaIndex pgvector Qdrant YOLO OpenCV PyTorch
Product engineering

Modern web products, SaaS platforms, ERP systems, mobile apps, APIs, dashboards, and production-grade backends.

React Next.js TypeScript Node.js NestJS FastAPI Django Laravel PostgreSQL Redis React Native Flutter
Data platforms

Analytics, BI, pipelines, warehouses, streaming systems, and reliable data foundations for reporting and AI.

SQL Python dbt Airflow Kafka Snowflake BigQuery Redshift Databricks Power BI Tableau
Cloud and delivery

Deployment, CI/CD, observability, infrastructure, testing, monitoring, and production maintenance.

Docker Kubernetes AWS Azure Cloudflare GitHub Actions Terraform Sentry Grafana Prometheus Playwright

Selected case studies

Systems shaped around real operations

Three examples from the wider case-study library, spanning field execution, manufacturing quality, and business operations.

Explore all case studies

Sales & distribution

Turning Field Execution Into a Live Sales Command System

More accountable field execution, tighter distributor coordination, stronger target visibility, and live leadership control.

Read the sales & distribution case study

Manufacturing

Building Quality Control From Incoming Lot to Final Passing

Stronger traceability, audit readiness, issue resolution, and confidence in every batch, order, or product released.

Read the manufacturing case study

Wholesale

Giving Wholesalers Command Over Stock, Credit, Branches and Cash

Better stock control, stronger receivables discipline, cleaner branch reporting, and owner-level visibility.

Read the wholesale case study

Careers

Build AI, software, and data systems with us

Engineers, AI builders, data people, and operators can reach the Careers page directly from the homepage flow.

View careers

Next

Have a rough prototype, a sharp spec, or an operational problem worth fixing?

Bring the messy version. We will help turn it into a product, platform, data system, or workflow that feels deliberate.

Discuss a project