Enterprise-grade engineering, built for real businesses.
AI solutions and modern engineering — built to ship, built to scale.
SolphIT helps small and mid-sized businesses design, build, and deploy enterprise-grade AI and software systems — without enterprise overhead. We bring the same architectural discipline used in large organizations, delivered with the speed, clarity, and pricing that growing companies need.
Small & Mid‑Sized Businesses
You need serious engineering and AI capabilities, but not the cost, friction, or bureaucracy of a large consultancy. We help you move fast, build correctly, and scale with confidence.
Services
Four focused offerings, priced transparently. Hourly rates are “starting at” and depend on scope and urgency.
AI Development / Execution & Deployments
$100/hr+Production-grade AI solutions: LLM integrations, pipelines, automation, deployment, and ops-friendly execution.
- ●Designing agentic systems that can reason, act, and complete workflows
- ●End-to-end customer interaction modeling and automation
- ●On-premise and private AI deployments for sensitive environments
AI Agentic Architecture / Consultation / Training
$150/hr+Design robust agentic systems and train teams to use AI effectively within their real data, workflows, and constraints.
- ●Agentic architecture + guardrails
- ●Workshops and team training
- ●AI governance and pragmatic enablement
Development (Python, PHP, JavaScript, C#, etc.)
$80/hr+Hands-on development across modern stacks with strong testing, CI/CD, and maintainable architecture.
- ●Backend services + APIs
- ●Automation and integration work
- ●Testing and reliability improvements
Web App / Microservice / API Architecture & Consulting
$120/hr+System design, refactoring plans, and clear architecture for scalable services and teams.
- ●C4-style architecture + documentation
- ●API contracts + boundaries
- ●Scalability, security, and delivery planning
Why SolphIT?
You get clear boundaries, API contracts, and delivery plans—so the work stays deterministic and maintainable.
Testing, CI/CD, monitoring, and pragmatic security are built in—not bolted on later.
LLMs, agents, automation, and data pipelines with practical guardrails and measurable outcomes.
Example scenarios
- Helping an enterprise team design a customer‑facing AI system capable of guiding users from first inquiry through order processing, while integrating cleanly with existing business systems.
- Building a private, on‑premise AI assistant for a small business that provides enterprise‑class AI assistant capabilities similar to tools like Copilot, without sending data to third‑party platforms or incurring enterprise licensing costs.
- Refactoring legacy services into clear, documented APIs to support automation, AI integration, and future growth.