AI Solutions That Drive Real Growth
We build custom AI solutions that automate processes, maximize efficiency, and accelerate your business growth.
/ WHO WE ARE
A team of engineers, designers, and builders.
A boutique studio of ML engineers, designers, and builders. Since 2018 we've helped 40+ teams ship AI that actually reaches production.
Healthcare, fintech, enterprise — every engagement starts with one question: will this actually move your business forward?
/ WHAT WE DO
End-to-end AI services.
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Custom AI Solutions
Tailored models built around your business logic and data.
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Automation & Efficiency
Streamline operations and save teams hours every week.
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Data-Driven Growth
Turn raw data into sharp, shippable product decisions.
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Secure & Scalable
Enterprise-grade security with auditable ML pipelines.
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Global Deployment
Deploy AI across regions with sub-second latency.
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MLOps & Monitoring
Production-grade pipelines with full observability.
/ OUR WORK
Real projects, real impact.
AI-powered customer support automation
Built a custom NLP pipeline that reduced response time by 60% and cut support costs in half. The system handles 80% of tier-1 tickets autonomously.
Predictive diagnostics platform
Deployed a computer vision model for early detection of retinal diseases. Improved diagnostic accuracy to 94% across 12 hospital networks.
Real-time fraud detection engine
Engineered an ML pipeline processing 2M+ transactions daily. Reduced false positives by 73% while maintaining 99.7% fraud detection precision.
/ OUR PROCESS
From discovery to deployment.
Discovery & Audit
We analyze your data, processes, and goals to identify the highest-impact AI opportunities.
Design & Prototype
Rapid prototyping with real data. You see results in weeks, not months.
Build & Deploy
Production-grade models with monitoring, testing, and scaling built in from day one.
/ CLIENT FEEDBACK
What our clients say.
/ FAQ
Common questions.
How long does a typical AI engagement take?
Most projects ship a working prototype in 4–6 weeks and reach production in 8–14 weeks. We scope the first phase in week one so you see shippable progress fast.
Do you work with existing ML models or build from scratch?
Both. We start by evaluating open-source or foundation models, and only train custom ones when off-the-shelf options hit a real ceiling on accuracy, cost, or privacy.
What industries do you serve?
Healthcare diagnostics, financial risk & fraud detection, SaaS product automation, logistics, and legal tech. If your problem is data-heavy and high-stakes, we can probably help.
How do you handle data privacy and compliance?
SOC 2, HIPAA, and GDPR workflows are default. Data stays in your cloud account; we sign DPAs upfront and can run fully on-prem when required.
Can you integrate with our existing stack?
Yes — AWS, GCP, Azure, Snowflake, Databricks, Salesforce, HubSpot. We ship APIs and SDKs your team can wire into existing backends without a rewrite.
What happens after the project ships?
We offer MLOps retainers: monitoring, evals, re-training on drift, and on-call support. You can also take the codebase in-house — full handover, no lock-in.
/ Let's talk
Ready to transform your business with AI?
Tell us about your project. We'll reply with a plan, a ballpark timeline, and whether we're the right fit — no sales pressure.
Start a project
We'll reply within 24 hours. NDA available on request.