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.

Over 10 years building with senior AI and engineering talent for US companies.
2 to 4 weeks
To a usable first version
Drift-aware
Monitoring and retraining in every scope
10+ years
Building for US companies
Trusted by leading companies

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.

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Predictive Analytics & Forecasting

Demand forecasting, churn prediction, fraud detection, risk scoring, predictive maintenance, and anomaly detection.

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Machine Learning Models

Classification, regression, and clustering models, from supervised learning on labeled data to custom deep learning.

Computer Vision

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.

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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.

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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

Standard
Data readiness
Assumed clean until the build proves otherwise
Model approach
The most impressive architecture available
First deliverable
Months of research to a notebook
Drift
Model decays silently after launch
After launch
Codebase handoff, support ends at delivery

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.

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.

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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.

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SaaS & B2B Software

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Fintech & Financial Services

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E-commerce & Retail

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Healthtech

Manufacturing

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Logistics & Supply Chain

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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.

Start a conversation
Tell us what you need: an ML model on your data, a computer vision system, a recommendation engine, or full AI application development services. We scope the engagement from there.

From the teams we've worked with

Eleven years, 500+ companies, 50,000+ vetted professionals. What they say about working with us.

Tecla is organized and provides a strong partnership experience. From hiring multiple engineers within weeks to maintaining consistent communication and feedback, they've shown real professionalism. Their follow-up and collaboration made the entire staffing process efficient and enjoyable.

Kristen Marcoe

Director @ Credo AI

I’m very happy with Tecla. Their support has improved our QA process, reduced bug reports by half, and made our onboarding process twice as fast. The team is responsive, cost-effective, and delivers high-quality candidates on time. Tecla has truly become a trusted extension of our internal hiring team.

Meit Shah

Principal PM @ Stash

It was a pleasure working with Tecla. Their team quickly understood our hiring needs and found candidates that matched our technical requirements perfectly. Communication was seamless, and they were always quick to respond and deliver results. Tecla’s attention to quality made the entire experience smooth and efficient.

Mayya Bozhilova

Manager @ Three Space Lab

Tecla successfully found candidates for our team and handled the entire process from scheduling to interviews. They were timely, responsive, and always kept communication flowing through email and messaging apps. I was really impressed with Tecla’s follow-up and thoroughness throughout the process.

Jessica Warren

Head of People @ Chowly

Tecla's business model and team set our company up with engineers that we have the real possibility of working with long-term and can grow with our business. Tecla came in highly recommended, and their pace from introduction to engagement to presenting candidates was very fast.

David Bradley

Founder @ QPilot

Internally, we're moving much faster than we were without the remote engineers Tecla recruited for us and we've been able to implement far more features. Once we brought on our first full-time designer in South America, it made the quality of our user interface, product, and marketing efforts increase substantially.

Drew Batshaw

CTO @ Waggl

When we started our recruiting initiatives for LATAM developers, it was crucial for us to rely on a company that could provide deep local expertise to help us identify the best software developers in Latin America. The teams at Tecla really go the extra mile to understand our needs, which is what has made our partnership so successful!

Douglas Santos

Lead Tech Recruiter @ HomeLight
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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.

Beyond AI and ML

Machine learning is one shape of how Tecla builds. When the work is generative, autonomous, or needs senior AI leadership, we cover what comes next.

AI Development Services

Custom AI development across the full stack, from AI powered products and AI agents to platform integrations.

Generative AI Development Services

LLM integrations, RAG systems, AI chatbots, and generative applications, built and evaluated for production.

Fractional Chief AI Officer

Executive AI leadership at part-time hours. Strategy, governance, and technical direction before a full-time hire is justified.

Frequently asked questions

What do Tecla's AI ML development services include?

AI and machine learning development services covering predictive analytics, supervised and deep learning models, AI application development, computer vision, recommendation engines, NLP, multimodal AI, edge AI, and MLOps. Every engagement includes data assessment, model development, evaluation, deployment, and monitoring.

What stack does Tecla use for ML development?

Python-based frameworks for most model work, including PyTorch, scikit-learn, and XGBoost, with Databricks and Snowflake on the data side and MLflow for experiment tracking. Azure AI ML development services are available when the environment is Microsoft-based.

How is Tecla different from a typical ML consultancy?

Tecla runs AI/ML development services as fixed-scope sprints with a dedicated AI Systems Lead, a data assessment before the scope commits, and drift monitoring after launch. The typical AI ML development services company ends the engagement at model delivery, before the part where models start decaying.

Does Tecla build custom AI applications?

Yes. AI application development services at Tecla cover the model, the pipelines, and the software around them. Custom AI ML software development services are scoped to your product or delivered as a standalone platform.

How long does an ML build take with Tecla?

A usable first version of AI app development services typically ships in two to four weeks through a fixed-scope sprint. Production deployment ranges from six weeks to several months depending on data readiness, integration depth, and the retraining infrastructure the model needs.

What if our data is not ready?

The data assessment answers that before the build starts. When the data needs pipeline work, cleaning, or labeling, that becomes the first phase of the scope, priced and planned, instead of a surprise in the middle of the model work.

What does the ML model development life cycle look like at Tecla?

Data assessment, feature engineering, training, validation against real world holdout data, deployment, and monitoring with a retraining cadence. Experiment tracking runs through the whole ML model development life cycle, so every version of the AI models is reproducible.

Does Tecla build computer vision systems?

Yes. AI computer vision development services cover image and video analysis, object detection, document extraction, and AI video analytics software development services for use cases like visual quality control, media analysis, and security monitoring.

Does Tecla build recommendation engines?

Yes. AI recommendation engine development services cover personalization, ranking, and content discovery. AI recommendation system development services are scoped to the catalog, the behavior data, and the metric the recommendations have to move.

Does Tecla work with edge AI and multimodal AI?

Yes. Edge AI development services cover on-device inference for latency, privacy, or connectivity constraints. Multimodal AI development services cover systems that reason across text, image, audio, and sensor data in a single pipeline.

Is Tecla an AI ML development company or a staffing agency?

Both, by design. Tecla works as an AI ML development company and an ML software development company for managed builds, backed by a talent network for teams that want an AI ML development team embedded instead. Unlike ML development companies that end at delivery, both models carry artificial intelligence (AI) and machine learning (ML) depth past launch.

Does Tecla offer AI model development as a standalone service?

Yes. AI model development services and custom ML model development services can be scoped without a full application: a forecasting model, a scoring model, or a classifier delivered with its evaluation suite, pipelines, and documentation, ready for your team to integrate.

How much do Tecla's AI and ML development services cost?

Tecla starts AI & ML development services engagements with a fixed-price sprint. Cost varies by scope, data readiness, and sprint format. The assessment call establishes the scope before any commitment.

Who owns what Tecla builds?

The client. Every model, pipeline, and application Tecla builds runs on your infrastructure, with your data, and the code belongs to you. Tecla manages the engagement end-to-end, but ownership stays with the client.

Does Tecla offer nearshore software development for AI and ML?

Yes. Tecla's network spans the US and 18+ Latin American countries, so nearshore software development for AI and ML runs with 0 to 3 hours of US timezone overlap, at around 50 to 60% less than an equivalent US hire.

Does Tecla work with startups?

Yes. AI enabled application development services for startups typically begin with a proof of concept on the data already available. From there, AI ML development solutions scale with the stage, the budget, and the technical capacity in place, whether the build is a quick validation or a long term investment.

How do I get started with Tecla's AI ML development services?

Start a conversation at tecla.io/onboarding. Tecla looks at what you need, assesses the data, scopes the engagement, and comes back with a plan. AI initiatives commit to nothing until the scope is confirmed.

Have any questions?
Schedule a call to discuss in more detail.
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