What We Build

Deep AI/ML Engineering, Built for Production

We build custom AI systems that integrate with your data, your domain, and your business logic — from agentic workflows to production ML pipelines.

Agentic AI & Intelligent Automation

Autonomous AI agents, workflow orchestration, compliance agents, advisor copilots. Built for enterprises that need AI to act, not just analyze.

Predictive Analytics & ML Platforms

Life-event prediction, customer behavior modeling, churn analysis, predictive scoring. Built for InterGen Data and TD Ameritrade.

Natural Language Processing

Document understanding, classification, entity extraction, and conversational AI—across financial services, real estate, and enterprise.

Computer Vision & Image Analysis

Object detection, image classification, quality inspection. Applied in security, manufacturing, identity verification and robotics.

Data Science & Feature Engineering

Data pipeline design, feature stores, model training infrastructure, experiment tracking. The foundation every ML system needs.

AI Integration & Deployment

Model serving, API design, cloud deployment (AWS/GCP/Azure), monitoring, MLOps. We don't just build models — we ship them.

Case Studies

AI Systems Built for the Real World

Click any client to read the full engagement story — what they needed, what we built, and the results.

InterGen Data offering a life-event probability platform that projects occurence of medical, relocation, beneft fitting, investment risk, insurance requirements events based on income vs expense calibration accounting for inflation by demographics and ZIP code. Softlab360 built the AI/ML engine at the core of the platform — designing the predictive models, data pipelines, and classification algorithms that power life-event predictions.

The platform helps RIA firms, insurance providers and insurance brokers, medical facilities operators, and credit-rating agencies predict maintenance costs and financial life events for their clients. We’ve since added critical illness predictions and hereditary disease modeling — expanding the platform from financial planning into health-correlated financial risk assessment.

“We came to Softlab360 with a concept — they turned it into a production AI platform. They’ve been our technical backbone for over a decade.”

— Robert Kirk, CEO, InterGen Data

ML Platform Predictive Analytics Data Science Feature Engineering API Integration Life Event Prediction

TD Ameritrade (now Schwab) is a broker-dealer offering an electronic trading platform for stocks, futures, funds, and other financial assets. Softlab360’s experience building proprietary trading systems was called upon to evaluate new software for trade management and execution, and to build an AI/ML platform leveraging 7 years of trade data.

The platform analyzes trading behavior patterns, predicts customer churn, and projects adoption of new financial products. The AI/ML engine was the key component — with a data anonymization and randomization layer ensuring compliance while enabling deep machine learning on sensitive brokerage data.

AI/ML Fraud Detection Customer Analytics Data Anonymization Churn Prediction

GrayHair Software is the largest mail tracking provider in the U.S., integrating over 125 billion postal data points for major financial services, banking, insurance, and healthcare organizations — turning postal and customer data into business-ready intelligence.

Softlab360 developed an AI agentic system for GrayHair that automatically processes incoming emails, understands their content, and executes actions based on the information extracted — replacing manual workflows with intelligent automation.

Agentic AI Email Processing NLP Intelligent Automation Workflow Automation

Anywhere Real Estate (formerly Realogy) is one of the largest residential real estate services companies in the world, operating brands including Coldwell Banker, Century 21, Sotheby’s International Realty, and Corcoran — with over 300,000 agents across 119 countries.

Softlab360 implemented an AI agentic system for Anywhere Real Estate that generates comprehensive dossiers for each transaction — including property profiles, seller and buyer profiles, title requirements, and flagging of missing information. Employees use the system to prepare complete transaction packages in a fraction of the time previously required, with the AI agent pulling from multiple data sources and surfacing gaps before they become delays.

Agentic AI Real Estate Document Generation Title Requirements Transaction Automation

How We Work

From Idea to Production-Ready Solution

We move fast. Most projects go from intro call to active development within weeks.

Intro Call

Talk to our engineering team to unpack your specific challenges.

Discovery & Proposal

We assess requirements and risks, then deliver a scoped proposal, budget and timeline.

Onboarding

Delivery lead assigned. Team onboarded into your tools and processes.

Build & Ship

Embedded or autonomous. Daily syncs or async. We ship your production-ready solution.

Scale & Support

Scale up, down, or transition to long-term support as your product evolves.

Questions

FAQ

Three core areas: Agentic AI & Intelligent Automation (autonomous agents, workflow orchestration), Predictive Analytics & ML Platforms (prediction engines, customer modeling, churn analysis), and AI Integration & Deployment (MLOps, model serving, cloud infrastructure). We also do NLP, computer vision, and data science across all areas.

Both, depending on what your problem needs. We've built custom ML pipelines from scratch for InterGen Data's life-event prediction platform, and we've also integrated and fine-tuned existing models for faster time-to-value. The right approach depends on your data, domain complexity, and accuracy requirements.

Yes. We've integrated with data lakes, warehouses, streaming pipelines, and legacy databases. Whether you're on AWS, GCP, or on-prem, our engineers onboard into your existing stack and extend it rather than replace it.

We've built AI systems for regulated industries including financial services (TD Ameritrade, SEI) where data handling is critical. Our engineers understand anonymization, encryption, access controls, and compliance requirements from the inside.

We build monitoring into every deployment — model drift detection, performance tracking, automated retraining pipelines, and alerting. AI systems need ongoing care, and we design for that from day one.

Flexible. We offer scoped projects (fixed timeline and deliverables), dedicated teams (monthly, scales with your needs), and hybrid models. Most AI engagements start with a scoped discovery phase to define the right approach.

Our longest AI relationship is InterGen Data — 12+ years and counting. We build long-term partnerships, not short-term projects.