Custom AI and ML Development Services
Machine learning earns its place when it runs on your data, inside your product. Tecla's AI ML development services put it there for startups and growing companies.
Predictive analytics, computer vision, recommendation engines, and full AI applications, engineered on the simplest model that meets the quality bar.
What we build
AI and machine learning development services across predictive analytics, supervised and deep learning, vision, and data engineering. Here is some of what we build.
Predictive Analytics & Forecasting
Demand forecasting, churn prediction, fraud detection, risk scoring, predictive maintenance, and anomaly detection.
Machine Learning Models
Classification, regression, and clustering models, from supervised learning on labeled data to custom deep learning.
Computer Vision
Object detection, visual quality control, document extraction, and AI video analytics.
Recommendation Engines
Personalization, ranking, and recommendation systems that lift engagement and revenue per user.
NLP & Multimodal AI
Natural language processing (NLP) for text classification, sentiment analysis in customer service, and multimodal AI across text, image, and audio.
MLOps & Data Pipelines
Feature engineering, training pipelines, edge AI deployment, and the infrastructure that keeps models healthy.
From a single ML model to a full AI application
Tell us what you need and we scope the build.
The typical ML shop vs Tecla
The difference shows up in how the data gets assessed, how the model gets chosen, and what happens after deployment.
Typical ML shop
Tecla
Why teams usually come to us
The most common starting points for an AI ML software development services engagement.
Forecasting still runs on last quarter's spreadsheet
Years of historical data sit unused while planning runs on gut feel.
Churn shows up after the customer is already gone
The signals were in the usage data. A model surfaces them in time to improve customer retention.
Manual review became the bottleneck everyone works around
AI driven process automation handles the volume, people handle the exceptions.
The notebook works, production never happened
The model is proven. Shipping it needs pipelines, monitoring, and software around it.
How we deliver
The process starts with the data and stays with the model after launch.
Data assessment & features
We assess the data, the labels, and the feature engineering the first model needs to predict well.
Train, validate & build
Model training and validation against a holdout the business agrees on, plus the application around it. Every build ships with evals.
Deploy, monitor & retrain
Launch, drift monitoring, and a retraining cadence tied to how fast the data changes.
.avif)
Engineered for the data you have
ML projects are shaped by the state of the data more than the choice of algorithm. Tecla starts every engagement with a data assessment, so the scope reflects what the data can support today and what it will support after the pipeline work.
In production, a model lives with changing data. Drift monitoring and a retraining cadence are part of every scope, because accuracy on launch day is a starting point, not a guarantee.
Industries we serve
Machine learning takes a different shape in every industry. The data, the compliance environment, and the technical constraints are different. We adapt every engagement to the business behind it.
SaaS & B2B Software
Fintech & Financial Services
E-commerce & Retail
Healthtech
Manufacturing
Logistics & Supply Chain
Cybersecurity
Insurance
Media & Entertainment
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, data assessment, model definition, architecture, buildout, delivery, and future-phase recommendations. Your technical point of contact throughout the engagement.

Hire AI and ML engineers by specialty
When the need is an AI/ML software development team rather than a managed build, Tecla's network covers the full ML stack. Senior engineers across the US and Latin America, vetted to the same standard.












