Start with AI Automation or AI SaaS Development. Web, mobile, backend, cloud, product design and security support the delivery.
Choose automation for an existing operation or a product build for a new AI SaaS. Our engineering capabilities support both.
For growing businesses
Automate repetitive workflows around your existing tools—from lead qualification and CRM updates to documents, support, and reporting.
For startups and product teams
Take an AI product from specification to a secure, production-ready MVP with the architecture needed to learn, launch, and scale.
Engineering capabilities behind every engagement
Start focused, prove the workflow, then expand only when the evidence supports it.
We understand the business problem, current workflow, constraints and the metric that will prove value.
We map the future workflow, integration points, user experience and a focused delivery scope.
We prove one defined use case quickly against an agreed success metric before expanding the investment.
We integrate, secure, test and deploy the validated system into the real operating environment.
We monitor outcomes, resolve edge cases and improve the system as usage and business needs evolve.
Straight answers about our services, locations, process, and ownership model.
We build workflow automation, internal knowledge assistants, AI agents, RAG applications and production-ready AI SaaS products. Web, mobile, cloud and security engineering support those outcomes.
Yes. Most automation work connects to the tools a team already uses, including CRMs, databases, document systems, email and internal APIs. Discovery confirms the available integrations before scope is agreed.
A focused pilot is usually scoped around one workflow and one success metric. Timing depends on data and integrations, and is confirmed after the opportunity audit.
Small automation pilots typically start at $2,500. Full automation systems commonly begin around $7,500, while production-ready AI SaaS MVPs typically start at $15,000. Final pricing follows a defined scope.
Clients own the code, infrastructure, design files, and project deliverables. TeCodify works transparently in client-accessible repositories and systems.
We design server-side integrations, access controls, environment separation and data handling around the project’s sensitivity. Provider and retention choices are documented before implementation.
Yes. Engagements can include a handover period, managed AI monitoring and maintenance, or ongoing product engineering.
Tell us which process is consuming time or what product you want to launch. We'll recommend a focused first step.
