AI & Machine Learning
AI That Makes It To Production
Most companies are stuck between data they can't put to use and AI ideas that never leave the lab. We start with the business problem, build for the operation you actually run, and take it all the way to production.
AI Strategy
Know Where AI Pays Off Before You Build It
Identifies which problems AI can actually solve for your business and in what order. It gives you a clear path from idea to measurable result, backed by the data and governance to support it.
Opportunity Assessment
Identify where AI can solve a real business problem, ranked by feasibility and impact.
Data Readiness
Evaluate whether your current data can support the AI use cases you're prioritizing.
Governance and Risk
Define the ethical, regulatory, and security guardrails your AI initiatives need to operate within.
Implementation Roadmap
Sequence your AI investments so quick wins fund and inform longer-term initiatives.
AI Launchpad
A focused two- to three-day workshop with our AI experts that ends with a clear go/no-go on your MVP and a plan to build it.
CASE STUDY
Built secure, cloud-agnostic platform delivering AI insights to clinicians.
AI Agents
Autonomous Systems That Execute
Complete tasks directly instead of just answering questions, using your tools and data to take real action. Built with the right guardrails, they handle repetitive work reliably so your team can focus on what actually needs a person.
Task Automation
Complete multi-step workflows end to end, from data entry to report generation.
Tool and API Integration
Connect agents to your existing systems so they can take real action, not just respond with text.
Decision Logic
Build in the rules and reasoning an agent uses to choose its next step.
Human-in-the-Loop Controls
Set checkpoints where an agent pauses for approval before taking a sensitive or high-stakes action.
Memory and Context
Give agents access to prior interactions and relevant data so decisions stay consistent over time.
Monitoring and Guardrails
Track agent performance and set boundaries on what it can and cannot do without oversight.
CASE STUDY
AI-Powered Agentic Assistant That Helps Employees Quickly Find and Interact With HR, Compliance, and Workplace Policy Documents
Generative AI
Content That Moves At The Speed Of The Business
Produce and adapt text and imagery at scale, so your content keeps pace with the business without adding headcount.
Summarization
Condense long documents into brief, accurate summaries.
Conversational AI
Answer customer and employee questions 24/7 in natural language, grounded in your own content.
Content Generation
Draft product copy, descriptions, and marketing variants in your brand voice.
Image Super Scaling
Upscale imagery for 4K and large-format display.
Inpainting/Outpainting
Restore and expand image content seamlessly.
Image Styling
Generate new color and texture variations from one asset.
CASE STUDY
Processing time that took hours of manual work now process in minutes, at a fraction of the cost.
Custom Models
Built On Your Data, For Your Problem
When a generic model isn't accurate enough, we build one trained on your data and your business problem, so it delivers better results on the tasks that matter to you.
Purpose-Built Models
Design and train models from the ground up when off-the-shelf options can't meet your accuracy or data needs.
Fine-Tuning & Adaptation
Adapt foundation models to your domain, terminology, workflows, and specialized tasks.
Predictive Modeling
Forecast outcomes, flag anomalies, and surface patterns that drive better decisions.
Model Optimization
Tune accuracy, speed, and cost to meet real-world production requirements.
Continuous Learning
Retrain on new data so accuracy holds as your business changes.
Model Evaluation
Benchmark against off-the-shelf alternatives so you know the custom build is worth it.
CASE STUDY
Automated multilingual menu digitization, cutting manual effort over 50%.
Computer Vision
Give Your Business the Ability to See and Understand
Turn images, video, and scanned documents into structured data your systems can act on, from tagging and classification to quality scoring.
Image Classification
Auto-categorize large image libraries by your taxonomy.
Object Detection & Segmentation
Tag objects across images and video.
OCR & Document Intelligence
Extract text and tables from scanned documents and photos.
Healthcare Imaging
Help clinicians detect and prioritize findings in medical images.
Accessibility & Alt Tagging
Auto-describe images to support accessibility and search visibility.
Visual Search & Matching
Search images by the objects and scenes they contain, and match related images to power recommendations.
Web Retailing & eCommerce Images
Sharper and more immersive product imagery drives more ecommerce sales.
Aesthetic Quality Assessment
Score product images to lift conversions and identify poor-performing photos and renderings.
CASE STUDY
AI-tagged listing photos at 96% accuracy, syndicated to 50+ sites.
ML Ops
Reliable Enough To Run The Business On
A model that works in a lab isn't the same as one your business can depend on. Our MLOps practice closes that gap across the full AI lifecycle.
Experiment Tracking
Compare model versions and promote top performers with confidence.
Model Training
Run automated, scalable experiments with tools like KubeFlow.
CI/CD
Move models from development into production faster, with fewer errors.
Monitoring
Detect model drift and alert on anomalies in real time.
Data Management
Keep datasets versioned, QA'd, and current.
Compliance & Governance
Meet regulatory and privacy requirements with a full audit trail.
CASE STUDY
Built customer sentiment tracking for a home builder marketing platform.
The experience layer
AI Is Only As Good As The Experience Delivering It
The strongest model still fails if customers never feel the benefit. Our Digital Experiences team designs and builds the interfaces, platforms, and journeys that put an AI investment in front of the people it was built for.
Explore Digital Experiences
Talk With Us
Tell us what you're working on. We'll ask questions, then come back with a straight view on what's worth doing, including if the answer is not yet.
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