AIsotropic partners with organizations to deploy AI services and build customer success practices that drive retention, expansion, and long-term growth.
From roadmapping to production deployment — we architect AI systems that solve real problems, not just demo-day promises.
We help you build and scale customer success functions — from team structure and onboarding to retention strategy, QBRs, and the playbooks that keep customers engaged long-term.
Specialized AI solutions for health-tech and social impact domains — including our flagship ADITI platform for autism detection.
Autonomous agents and Model Context Protocol integrations that connect your tools, automate complex workflows, and act without babysitting.
AIsotropic was founded on a simple belief: the gap between AI potential and organizational reality is a people and process problem — not a technology one.
We bring together machine learning engineers, customer success veterans, and domain specialists to close that gap for good.
Every solution grounded in peer-reviewed AI methodology
Technology that empowers people, never replaces them
Strategy through deployment, adoption, and iteration
SaaS, healthcare, finance, education — we adapt
We don't sell technology — we sell outcomes. Every engagement is designed around your specific challenges, constraints, and growth trajectory.
We help leadership teams cut through the AI hype and build a clear, executable roadmap. Then we stay to implement it — from data infrastructure to deployed models in production.
We help organizations build customer success practices that actually work — focused on relationships, process, and the fundamentals that turn new customers into long-term ones.
Deploy production-grade NLP pipelines and intelligent conversational agents that understand context, intent, and nuance — not just keywords.
Specialized solutions for health tech, behavioral science, and social impact organizations — with the rigor, ethics, and domain expertise these fields demand.
Turn historical data into forward-looking intelligence. We build forecasting models and BI systems that help leaders make confident decisions under uncertainty.
We build autonomous AI agents and Model Context Protocol (MCP) integrations that connect your tools, automate complex workflows, and act on your behalf — without babysitting.
Whether it's an agent, a custom model, an MCP integration, or something you haven't quite figured out how to describe yet — reach out. We'll figure it out together.
Deep-dive into your data, processes, and goals. We identify the highest-leverage AI opportunities and the blockers standing in the way.
Co-create an architecture and roadmap with your team. We align technical solutions to business outcomes before writing a single line of code.
Build and ship with embedded quality assurance. Our engineers work alongside yours for knowledge transfer from day one.
Monitor, measure, and continuously improve. We track impact against KPIs and iterate until the numbers prove themselves.
Real engagements. Measurable outcomes. Stories we're proud to tell.
A multi-modal AI platform combining behavioral analysis, video processing, and an ElevenLabs-powered training interface to accelerate autism screening and support cognitive and societal skill development. Presented at Stanford.
Using SEC filings, IPO-day trading data, and market signals to predict whether a newly public company will trend bullish or bearish — before the hype fades and the fundamentals take over.
Autism Spectrum Disorder affects an estimated 1 in 36 children in the United States. The diagnostic pipeline is overwhelmed — families wait 12 to 18 months for a formal evaluation, missing the highest-impact window for early intervention. Most of the technology built to address this stops at one thing: detection.
A diagnosis without a path forward isn't a solution. It's just a label. That's the gap ADITI was built to close.
"Most tools tell you there's a problem. ADITI is the first step in actually doing something about it."
ADITI is two things in one platform — and the combination is the point.
The first layer is detection: a multi-modal screening engine using computer vision and conversational AI to identify ASD-associated behavioral markers early, giving clinicians an evidence-backed starting point instead of a months-long waitlist.
The second layer — and our true differentiator — is the training interface. Once a child is identified, ADITI doesn't hand them back to an overwhelmed system and wish them luck. It engages them directly.
Computer vision models analyze behavioral video submissions for ASD-associated markers — eye contact frequency, repetitive motion, social reciprocity signals, and atypical sensory responses — surfacing structured risk profiles for clinical review.
A conversational AI module conducts structured developmental interviews with parents and caregivers, extracting clinically relevant signals from natural responses using fine-tuned language models.
This is what makes ADITI different. Using ElevenLabs voice AI, ADITI delivers interactive, expressive training sessions directly to the child — working on emotional recognition, language processing, turn-taking, and social responsiveness. Engaging. Personalized. Scalable. No waitlist required.
Every other tool on the market is built for the clinician. ADITI is built for the child. Detection gives you a diagnosis. The training interface gives you a fighting chance at the developmental window that matters most — the early years before patterns calcify and intervention becomes exponentially harder.
We built the training interface because the bottleneck isn't just diagnosis. It's access to consistent, high-quality intervention at scale. A child in rural Georgia and a child in San Francisco should have the same shot. ADITI makes that possible.
ADITI was presented at a Stanford entrepreneurial competition — recognized for its ambition to go beyond detection and build something that actually intervenes. The response confirmed what we believed: the market doesn't need another screening tool. It needs what comes after.
The ADITI roadmap for 2026 includes expansion of the video analysis module to cover ADHD and developmental language disorder screening — creating a unified neurodevelopmental screening interface. AIsotropic is also partnering with school districts to explore a teacher-facing version of the tool designed for classroom observation contexts.
Longitudinal outcome tracking is now live — allowing the team to correlate ADITI's early screening signals with 12 and 24-month developmental outcome data, creating the feedback loop necessary for continued model improvement and eventual regulatory submission.
Whether you're exploring AI for the first time or building out a customer success function, we'd love to hear what you're working on. No pitch decks, no boilerplate. Just a real conversation.
Thank you for reaching out. A member of our team will be in touch within one business day.