AI & Data Platforms

Intelligence
Built In.

We build ML pipelines, scoring engines, and AI-powered automation that run in production — not in notebooks. From OpenAI integration to custom classification systems, we ship intelligence that scales with your business.

What We Deliver

AI That Ships

Production-grade intelligence systems — not proof-of-concept demos. Every deliverable is built for reliability, monitoring, and scale.

OpenAI Integration

Production-grade GPT-4o and embeddings integration with structured outputs, retry logic, and cost monitoring.

Custom ML Pipelines

End-to-end machine learning workflows — from feature engineering to model serving — built for your specific domain.

Data Ingestion & ETL

Automated pipelines that pull, clean, transform, and load data from APIs, files, and databases on schedule.

Scoring & Recommendation Engines

Deterministic and ML-hybrid scoring systems that rank, match, and prioritize entities based on your business logic.

NLP & Document Analysis

Extract structured data from solicitations, contracts, and unstructured text using natural language processing.

Intelligent Classification

AI-first classification systems with deterministic fallbacks. Accurate categorization at scale with human-level precision.

Real-Time Enrichment Workflows

Automated data enrichment pipelines that augment records with third-party intelligence from SAM.gov, Apollo, USASpending, and more.

AI-Powered Content Generation

Templated and dynamic content generation for reports, emails, summaries, and documentation using fine-tuned prompts.

Engagement Timeline

From Data to Production

A typical AI engagement runs 12 weeks from discovery to production deployment. Here is how the phases break down.

01
Weeks 1-2

Data Audit & Strategy

Map existing data sources, define model requirements, identify integration points, and establish success metrics.

02
Weeks 3-5

Pipeline Architecture

Design ETL flows, build data schemas, set up staging environments, and architect the processing infrastructure.

03
Weeks 6-10

Model Integration & Training

Integrate AI models, build scoring algorithms, train on your data, and iterate on accuracy with real-world validation.

04
Weeks 11-12

Production & Monitoring

Deploy to production with monitoring, alerting, cost tracking, and automated fallback handling for reliability.

Tech Stack

Battle-Tested Tools

Python
OpenAI
LangChain
Supabase
Next.js
TypeScript
Vercel
pandas
scikit-learn
Case Study

CapturePilot AI Systems

CapturePilot is our flagship GovTech SaaS — and a showcase for every AI capability we offer. We built the full intelligence layer: classification, scoring, enrichment, NLP extraction, and automated daily pipelines processing tens of thousands of federal opportunities.

  • GPT-4o NAICS classification — AI-first with keyword fallback for 100% coverage
  • 140-point deterministic scoring algorithm across 6 weighted dimensions
  • Automated opportunity enrichment pipeline with contractor readiness scoring
  • Natural language processing for solicitation requirements extraction
  • Daily automated ingestion and scoring of 37K+ federal opportunities
  • Real-time competitor intelligence from USASpending award data

AI Intelligence Layer

CapturePilot Production Systems

Opportunities Ingested

daily from SAM.gov

37K+

Scoring Dimensions

deterministic algorithm

140pt

NAICS Accuracy

GPT-4o with fallback

98%+

Enrichment Sources

SAM, USASpending, Apollo, FPDS, web

5

Ready to Add Intelligence?

Tell us about your data and your goals. We will design an AI system that fits your business — and actually ships to production.