What types of AI/ML solutions do you build?

We build recommendation engines, NLP pipelines, computer vision systems, predictive analytics models, and generative AI integrations. We work with both custom-trained models and fine-tuned LLMs.

Do I need a large dataset to get started with AI?

Not always. We assess your data maturity in discovery. We recommend approaches from zero-shot LLM prompting to transfer learning when labeled data is limited.

How long does an AI/ML project typically take?

A proof-of-concept model can be ready in 4–6 weeks. A production-grade pipeline with monitoring, retraining, and deployment infrastructure typically takes 3–6 months.

Which cloud platforms do you use for ML deployment?

We deploy on AWS SageMaker, Google Vertex AI, and Azure ML. We also support on-premise GPU deployments for clients with data residency requirements.

Can you integrate AI features into our existing product?

Yes. We expose AI capabilities via REST or GraphQL APIs that plug into your existing stack. This avoids the need to rebuild your product from scratch.

Case Studies

Core Services

AI & ML Solutions
Our clients reduce operational costs by 45% and hit 90%+ prediction accuracy. We build the AI pipelines that make those numbers possible.
Custom Web Development
We've delivered 150+ web platforms for US startups and enterprise teams. Our engineers write in React, Next.js, and Node.js chosen for your project, not our preference.
UI/UX Design
We design interfaces that reduce drop-off and increase sign-ups. Our clients average a 40% conversion lift after a UX redesign.
Mobile App Development
80+ apps published. 4.8/5 average user rating. 99% crash-free sessions across iOS and Android.
MVP & Product Strategy
We shipped PetScreening’s MVP in under 5 months. It reached 21% month-over-month growth within a year. We do the same for founders who need proof before they run out of runway.
SaaS Solutions
We build multi-tenant SaaS platforms that ship on time and hold up under load. Our clients report lower churn and faster revenue growth within the first year of launch.

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Meet the Team

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AI & ML Solutions

Our clients reduce operational costs by 45% and hit 90%+ prediction accuracy. We build the AI pipelines that make those numbers possible.

AI Models Deployed

Operational Savings

0%+

Prediction Accuracy

45% Lower Operating Costs. 90%+ Model Accuracy. Here's How We Do It.

We've deployed 20+ AI models across SaaS, e-commerce, and healthcare. Each one was trained on client data, integrated via API into an existing product, and shipped in under 6 months.

We cover the full AI build stack: data assessment, model training, bias auditing, API integration, and post-launch retraining. You don’t need a clean data warehouse to start we assess your data readiness in the first discovery call.Every model we ship is integrated directly into your existing web or mobile product. No rip-and-replace. No new platform to manage.

it starts with an ideait starts with an ideait starts with an ideait starts with an idea

How we work

Data Assessment

We audit your data infrastructure in the first engagement. If your data isn’t ready, we tell you what’s missing and how to fix it.

Ethical AI & Bias Auditing

We test every model for algorithmic bias before deployment. Decision-making outputs are audited against fairness criteria relevant to your use case and industry.

Model Training

We select and train models using TensorFlow, PyTorch, or scikit-learn on your proprietary datasets. Your data stays yours we do not use it to train models for other clients.

Integration

Every model ships with a REST or GraphQL API that plugs into your existing product. No separate platform to manage. No rebuild required.

Edge AI Deployment

When low latency is critical, we optimize models to run directly on local devices rather than the cloud.

Continuous Learning

We configure automated retraining pipelines tied to production feedback. Model accuracy is tracked against a baseline, and retraining triggers when drift is detected.

Our core AI & ML Services

Predictive
Analytics

Know which customers are likely to churn before they do. Know which SKUs will overstock next quarter. We build the forecasting models that turn historical data into decisions you can act on today.

NLP &
Chatbots

We build NLP pipelines and chat interfaces that deflect repetitive support tickets and surface answers from internal documentation. The result is less load on your support team and faster resolution times for your users.

Computer
Vision

We build image recognition models for manufacturing QC, security monitoring, and clinical diagnostics. A model trained on your defect images can catch production errors faster than any manual inspection line.

Data
Engineering

Most AI projects fail because the underlying data is messy. We clean, structure, and warehouse your data before a single model is trained. This step is what separates a model that works in production from one that doesn't.

Generative AI
Integration

We integrate LLMs (GPT-4, Claude, Gemini, or open-source models) directly into your product. Use cases include document summarization, internal search, automated drafting, and structured data extraction from unstructured inputs.

Recommendation
Engines

We build recommendation algorithms for e-commerce and media products. A well-tuned recommendation layer increases average order value and session depth. Exact lift is scoped in discovery based on your traffic and catalog size.

4.9on Clutch

5.0on Google

Testimonials

Percensys Core Learning

“As a learning company, we care deeply about clarity and usability. They took feedback seriously, refined the details, and made sure our content and workflows were presented in a way that really works for our learners and admins.”

Vito Robles

COO · Percensys Core Learning

TFX Capital

“I wanted a team that would test our software thoroughly, pinpoint weaknesses, and deliver practical insights we could act on. That is exactly what they did, giving us clarity and confidence in every iteration.”

Brandon Shelton

Founder & Managing Partner · TFX Capital

Dot Drive

“From the start, they were structured and transparent. Regular check-ins, clear documentation, and no surprises on scope or budget. When we did need adjustments, they were handled quickly and professionally.”

Sal Ferlise

CEO · Dot Drive

Elevation Church

“The collaboration was seamless. Their developers worked closely with our new internal hire, guiding him until he was fully confident managing builds on his own. Within months, he was adding new features independently.”

Corey Pruitt

Central Digital Team Lead · Elevation Church

PetScreening

“We discovered that an external team can be just as committed and driven as our internal one. Their dedication, work ethic, and attention to detail have made them an invaluable extension of our organization.”

John Bradford

CEO · PetScreening

CRDN

“Our expectations around service and consistency are high, and they met them. The team was accessible, pragmatic, and willing to roll up their sleeves when issues came up. The final outcome is something we’re comfortable putting our name behind.”

Steve Gibson

President · CRDN

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