HealthTech • AI Copilot
AI Clinical Documentation Copilot
Client: MediAssist Health
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Full-stack AI from strategy to production — tailored to your business.
Custom GenAI apps using OpenAI, LLaMA, Gemini — fine-tuned to your workflows and data.
Agents that plan, decide, and execute with minimal human input — automating ops, support, and complex decisions.
Smart assistants that boost your team's output in content, analysis, planning, and real-time decisions.
End-to-end: model training, evaluation, and full-stack integration with your existing tech stack.
Predictive maintenance, smart infrastructure, and industrial automation powered by on-device AI.
Roadmaps, audits, use-case discovery, and readiness assessments aligned with your business goals.
Beautiful, intuitive AI-powered interfaces and product design — crafted to convert and built to scale.
Real products. Real outcomes. Measurable impact.
HealthTech • AI Copilot
Client: MediAssist Health
Read Full Case StudyFinTech • Autonomous Agent
Client: CreditPulse (YC W24)
Read Full Case StudyManufacturing • Computer Vision
A manufacturing unit faced quality issues due to manual inspection. We implemented an AI-powered computer vision system that analyzed product images and sensor data in real time, identified defects with high accuracy, and flagged faulty products instantly on the production line.
Client: Confidential (Manufacturing)
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We're not a dev shop. We're your embedded AI product team.
From discovery to deployed AI product in weeks, not quarters. Our AI Sprint™ process eliminates the back-and-forth.
Dedicated AI researchers, LLM engineers, and product designers who live and breathe AI — not generalist devs moonlighting.
Every engagement starts with a signed NDA. Your IP, ideas, and data stay yours — always.
We connect AI to your ERP, CRM, SaaS stack, and data pipelines with zero disruption to existing ops.
No endless discovery loops. No hand-offs. One structured sprint.
Week 1
Map business goals, data assets, and pain points.
Output: AI opportunity map + ROI estimate.
Week 2
AI UX flows, model selection, architecture blueprint.
Output: Clickable prototype + tech spec.
Weeks 3–5
Agile sprints. Daily standups. Continuous deployment.
Output: Working AI MVP on staging.
Week 6
Connect to your stack. QA. Security review. Go-live.
Output: Production-ready AI product.
Ongoing
Monitor. Retrain. Iterate based on real user data.
Output: AI that gets smarter over time.
AI diagnostics, patient triage, clinical documentation
Fraud detection, AI underwriting, smart portfolio advisors
Contract analysis, compliance AI, legal research copilots
Personalized learning, AI tutors, curriculum generation
Demand forecasting, recommendation engines, visual search
Lease intelligence, predictive maintenance, tenant AI
Claims automation, risk scoring, AI chatbots
Route optimization, supply chain AI, delivery prediction
AI feature integration, LLM APIs, copilot layers
"Palpx didn't just build our AI — they helped us figure out what to build. The discovery process alone saved us 3 months of wrong turns."
Arjun M.
CTO, HealthTech startup
"We had an MVP live in 5 weeks. Five weeks. I've worked with agencies that took that long just to do a kickoff deck."
Sarah K.
Founder, LegalTech SaaS
"The NDA-first approach gave us the confidence to share our roadmap openly. They treated our IP like their own."
David L.
VP Product, Enterprise FinTech
"Their AI researchers asked questions our own team hadn't thought of. That's when I knew we had the right partner."
Priya R.
CEO, EdTech platform
"Deployed across 3 markets. On time. On budget. The QA process was meticulous."
Marcus T.
Head of Engineering, Logistics
"We went from 'we want AI' to 'we have AI in production' in 6 weeks. Still feels like magic."
Ji-Young P.
Co-founder, B2B SaaS
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