Custom AI Development Services
Tecla delivers custom AI development services for startups and growing companies. From AI-powered products and ML models to chatbots, agentic systems, and integrations into existing platforms.
The engagement takes the shape the team needs: embedded AI talent when the gap is capacity, a managed pod when the gap is delivery.
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What Tecla builds
AI software development services across agentic AI, generative AI, machine learning, NLP, computer vision, recommendation engines, and more. Here is some of what we build.
Agentic AI Development
Custom AI agents for security triage, financial workflows, customer support, and repetitive tasks across operations. Systems that plan, act, and report back.
Generative AI Development
LLM integrations, AI chatbots, and generative applications built into products. From RAG systems to production-grade assistants.
AI and ML Development
Machine learning models, computer vision, real time recommendation engines, and AI-powered features embedded into existing software.
AI Transformation
Consulting and services that redesign how the business operates. Strategy, workflow redesign, and managed AI systems.
From AI-powered products to ML models and agentic systems.
Tell us what you need and we scope the build.
The typical AI dev agency vs Tecla
The difference shows up in how the work gets scoped, how quality gets measured, and what happens after the code ships.
Typical AI dev agency
Tecla
When to engage an AI development partner
Here are some common scenarios where custom AI development delivers real value.
The roadmap has AI on it, the team has no slack, and hiring ML engineers takes months the roadmap does not have.
Embedded AI talent or a managed pod, contributing within days instead of quarters.
The proof of concept works, and production is a different job: real world integrations, real users, real constraints.
Evaluation suites, latency and cost tuning, and the engineering depth the pilot was not built for.
The platform needs AI capabilities without a rebuild of the core.
LLM integrations, RAG over proprietary data, and ML features inside the current architecture.
How we deliver
Discovery before code, evaluations before scale, managed support after launch.
Discovery & scoping
We map the project scope, the technical environment, and what the first deliverable has to solve.
Build & evaluate
Architecture and prototype scoped to deliver a usable first version. Every build ships with evals before production.
Deploy & manage
Launch, monitoring, and a clear path forward: expansion sprints, managed operations, or handoff.
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Built to ship, managed after launch
The transition from prototype to production is where AI software development services earn their keep: real data, real users, real constraints. Tecla's engagements are designed around that transition, with evaluations and integration depth built into the scope.
Every build ships with a clear scope and a path forward, whether that means expansion sprints, managed operations, or handoff to the internal team. The engagement moves companies from AI roadmap pressure to shipped AI capability.
Industries we serve
AI technology takes a different shape in every industry. The data driven constraints, the compliance environment, and the technical requirements are different. We adapt every engagement to the business behind it.
SaaS & B2B Software
Fintech & Financial Services
E-commerce & Retail
Healthtech
Cybersecurity
Manufacturing
Logistics & Supply Chain
Insurance
Professional Services
The two people you'll work with
Every Tecla engagement is supported by two roles, both included from day one.
AI Solutions Lead
Owns the commercial relationship. Involved in qualification, kickoff alignment, business outcomes and scope decisions, final delivery, and expansion discussions.
AI Systems Lead
Owns discovery, system definition, architecture, buildout, delivery, and future-phase recommendations. Your technical point of contact throughout the engagement.

Hire AI engineers by specialty
When the need is talent, Tecla's network covers the full AI stack. Senior engineers across the US and Latin America, vetted to the same standard.












