We help companies bring AI into production, modernize the systems they already depend on, and embed experienced engineers where execution matters most. From agentic workflows to legacy modernization and enterprise integration — strategy, architecture, engineering, and deployment.
Most organizations don't need another AI demo. They need AI that can operate inside the reality of their business — existing applications, fragmented data, security requirements, human workflows, legacy systems, and production constraints.
Corinth combines AI engineering with application modernization and systems integration to move companies from experimentation to production. We don't stop at the model. We engineer the system around it.
01AI built for production — agents, copilots, intelligent workflows, and AI-enabled applications integrated into the tools your business already uses.
02Bring critical systems forward without starting over — APIs, refactoring, integration, and phased migration around what already works.
03Engineers embedded where the work actually happens — accountable for outcomes, not tickets. For companies adopting AI, and for AI companies deploying into customer environments.

A successful AI system requires much more than an LLM API. Production introduces state, permissions, failures, integrations, security, evaluation, monitoring, and human decision points. Corinth engineers the complete operating system around AI — and a Production AI Pilot takes one valuable workflow all the way there.
Multi-step business processes as intelligent workflows combining AI reasoning, deterministic rules, software tools, and human decisions.
Workflows that pause, persist state, recover from failures, wait for external events, and resume safely.
AI connected to where work happens — applications, APIs, databases, CRMs, ERPs, document stores, internal tools.
What your AI did, why, where it failed, what it cost, and whether the new version beats the last.
Automate what should be automated; keep people involved where judgment, risk, or approval matters.
Access controls, tenant isolation, auditability, data boundaries, tool permissions, and secure model access from the start.
Modernization creates the foundation that makes AI useful.
Understand the workflow, systems, data, constraints, economics, and business objective before deciding where AI belongs.
Define the architecture, integrations, AI boundaries, human decision points, security requirements, and measurable success criteria.
Engineer the workflow, applications, integrations, agents, APIs, data pipelines, and supporting infrastructure.
Integrate into the real production environment, validate behavior, establish observability, and move from controlled rollout to production usage.
Measure performance, improve evaluations, optimize models and prompts, maintain integrations, and expand successful workflows.
For organizations deciding where AI or modernization will create the most value. We map the current workflow and systems, identify opportunities and constraints, and produce an actionable architecture and implementation roadmap.
Take one valuable workflow from concept to production. We design, build, integrate, evaluate, and deploy the complete workflow — including the engineering required around the AI itself.
Embed Corinth engineers directly with your team or customers — when the challenge cannot be separated cleanly from the environment where the software needs to operate.
Production is the beginning, not the end. Corinth continues operating and improving the systems we build through retained engineering and managed engagements.
Organizations looking to modernize applications, automate workflows, connect data, or introduce AI without disrupting critical operations.
Software companies that need additional engineering capacity for AI, platform, integration, or customer-facing deployment work.
AI product companies that need forward-deployed engineers to integrate and deploy their technology inside customer environments.
Business units and technology organizations that need a focused engineering partner for modernization, AI implementation, or specialized delivery.
Many firms can tell you what you should build. Many development companies can build what they're told. Corinth operates between the two — from the business problem through architecture, engineering, deployment, and operation. Fewer handoffs, clearer accountability, and technology designed around the environment where it actually has to perform.
We start with the workflow and economics, not the technology trend.
AI, applications, APIs, data, integrations, cloud, and production systems as one architecture.
We preserve what works and replace what doesn't.
Deployment, reliability, observability, security, and maintainability are part of the engineering work.
When needed, our engineers work directly alongside your organization through Forward-Deployed Engineering.
Corinth helps small and mid-sized businesses automate operations, integrate systems, build custom software, and adopt AI — without hiring a full-time engineering team.
Automate document handling, intake, reporting, and repetitive operational work.
Internal tools, portals, and applications designed around how your business runs.
Connect CRM, accounting, operations, and industry software into one workflow.
Senior engineering capability, on demand — scaled to what the business needs.
One codebase, per-tenant configuration, row-level data isolation — live in production and serving paying customers. New brokerages onboard through configuration, not development.
Read the case studyEvery inquiry captured, classified, and answered same-day — with human review on exceptions and escalation paths wherever judgment matters.
Read the case studyUsually not. Many AI opportunities can be enabled by exposing existing systems through APIs, connecting fragmented data, and introducing a modern workflow layer around the applications you already depend on. Modernization can happen incrementally.
Yes. Moving from prototype to production often requires more engineering around the AI than inside the model itself. We can help with architecture, persistent state, integrations, retries, evaluation, observability, human approval workflows, security, deployment, and ongoing operation.
Yes, when an agent is appropriate for the workflow. We also use deterministic software, traditional automation, retrieval systems, business rules, and human approval where those are better engineering choices. We don't force every problem into an agent architecture.
Yes. Corinth can own an entire initiative or work as a specialized engineering unit inside an existing organization. Our Forward-Deployed Engineering model is specifically designed for close collaboration with internal engineering and business teams.
Yes. For AI and software companies, Corinth can serve as a forward-deployed implementation partner — working directly with customer environments to handle integrations, customization, deployment, and productionization.
Security is part of the architecture. We design around appropriate access controls, least privilege, auditability, data isolation, secure model access, and customer-specific compliance requirements.
Whether you're modernizing a critical application, introducing AI into an existing workflow, or deploying an AI product inside customer environments, Corinth provides the engineering required to get it into production.