We Build AI That
Only 28% of AI projects deliver ROI (Gartner, 2026). We've shipped 50+ that did. Your project goes from idea to production in 4 to 8 weeks. Not a prototype. Working software.
Trusted by companies worldwide
80% of AI Projects Deliver Nothing.
These aren't our numbers. RAND, Gartner, and MIT all published in the last 6 months. The failure rate is getting worse, not better. Here's the breakdown.
Sound Familiar?
What We Deliver Instead
We've shipped 50+ projects. Before taking yours on, we audit your data and tell you if it's ready to build.
Let's Fix This TogetherOne Team. Full Stack. Everything.
The ML model, the web app, the mobile app, the cloud it runs on. One contract. One team. No vendor hand-offs. No "that's not our part."
AI & Machine Learning
We built ShinyLoans' credit scoring engine. It processes applications in under 3 seconds. That's what production AI looks like.
Custom Software
Off-the-shelf tools break when your workflow doesn't fit the template. We've built ERP modules, compliance platforms, and internal tools that process millions of records.
Web & Mobile Apps
95+ Lighthouse scores. Highline Residential's NYC broker app and RadShifts' healthcare staffing app are both ours.
Cloud & DevOps
One client went from monthly releases to 12 deploys a week in the first month. Our stack: Terraform, GitHub Actions, Kubernetes, Prometheus.
Data Engineering
60% of AI projects fail because the data wasn't ready (Gartner). We build the pipelines first so your data is clean before any model touches it.
Product Design
ShinyLoans' conversion went up 40% after our redesign. Highline Residential's session duration tripled.
How We Work
No black boxes. No surprises. Here's exactly what happens from day one to launch.
Discovery Phase
We learn your business, goals, and technical landscape.
What happens
- Stakeholder interviews and requirements gathering
- Technical audit of existing systems and data
- Define success metrics and KPIs
- Risk assessment and feasibility analysis
Deliverables
- ✓Requirements document
- ✓Technical assessment report
- ✓Project scope agreement
We learn your business, goals, and technical landscape.
- Stakeholder interviews and requirements gathering
- Technical audit of existing systems and data
- Define success metrics and KPIs
- Risk assessment and feasibility analysis
Real Results for Real Businesses
What we've shipped for real clients. Healthcare, FinTech, and real estate.
Challenge: Patients lacked a secure, centralized platform for managing medical records across providers
"Afnexis built our HIPAA-compliant AI health platform from scratch. Their understanding of healthcare data privacy and AI integration was exceptional."
— Founder, My Medical Records AI
Challenge: No scalable platform to connect borrowers with lenders and automate credit decisioning
"The loan marketplace Afnexis built handles complex financial logic flawlessly. Credit scoring, payment processing, lender matching. All delivered on time."
— CEO, ShinyLoans
Challenge: NYC brokerage lacked digital tools for CMA, agent management, and market intelligence
"Afnexis delivered a beautiful, fast site with market analysis features that give our agents a real competitive edge."
— Principal Broker, Highline Residential
What Our Clients Say
Six clients. Six industries. All live in production.
"Afnexis built our HIPAA-compliant AI health platform from scratch. Their understanding of healthcare data privacy and AI integration was exceptional. The platform handles sensitive medical records with zero compromises on security."
Got Questions?
Here are answers to the most common questions we get. Can't find what you're looking for?
Still have questions?
We're here to help. Reach out and we'll get back to you within 30 minutes.
A focused feature like a RAG chatbot or document classifier? About 4 weeks. We shipped ShinyLoans' credit scoring engine in 5 weeks. A full app with ML backend, frontend, and cloud deploy runs 6 to 8 weeks. Enterprise with HIPAA or SOC 2? 8 to 12. We'll scope yours on a free strategy call and give you a real number.
Fixed price. Always. A single AI feature or proof of concept: $15K to $30K. Full production app with ML models, APIs, and frontend: $30K to $80K. Enterprise systems with compliance and integrations: $80K to $150K+. We've done 50+ projects. Those ranges come from real invoices, not estimates.
RAND says 80.3% fail. Gartner says only 28% deliver ROI. The biggest reason? Bad data and no executive alignment. We start every project with a data audit. If your data isn't ready, we tell you before you spend $50K finding out the hard way. We also define success metrics upfront. Not after month 3.
Yes. About 40% of our clients are funded startups between Seed and Series B. My Medical Records AI was a startup when we built their HIPAA-compliant platform. ShinyLoans was early stage too. The other 60% are mid-market and enterprise. Clear problem, real budget. That's all we need.
That's most of what we do. We've plugged ML models into legacy Java backends. Connected NLP to Salesforce. Added computer vision to warehouse management tools. Deployed LLM features inside React and Angular apps. AWS, Azure, GCP, on-prem, hybrid setups. We assess your stack on the strategy call.
We've built HIPAA-compliant platforms for My Medical Records AI. GDPR-compliant apps for European clients. Systems that passed SOC 2 audits. Your data stays in your infrastructure. We sign NDAs and BAAs before seeing anything. Pen testing runs before every production deploy. Not optional.
30 days of free support. Bug fixes, performance tuning, team training. After that, maintenance plans start at $2K/month: monitoring, security patches, up to 20 hours of feature work. About 70% of our clients stay on a plan. The other 30% take it in-house. Both are fine.
The engineers writing your code. Direct Slack or Teams access. Bi-weekly demos with working software. No account managers relaying messages. No project managers sitting between you and the tech team. You have a question about your ML model? You ask the person who trained it.
Know Your Cost Before You Commit.
30 minutes with a senior engineer who's shipped 50+ projects. You'll get a realistic scope, timeline, and fixed price estimate. No sales pitch. The call is useful even if you don't hire us.
We reply to every inquiry in under 30 minutes, Mon-Fri. No exceptions.