Bespoke AI Solutions

We Build Bespoke AI Agents for Your Hardest Data Problems

Our platform engineers your unstructured data—from internal wikis to complex product catalogs—into reliable, production-ready AI solutions that drive real business outcomes.

Trusted Partners & Backers

Backed by Leaders in Deep Tech & AI Research

UpHonestIntel

What We Build

We build custom solutions on our core data engineering platform. Here are a few examples of what's possible.

Intelligent Product Discovery

For: E-commerce & Retail Companies

The Problem

Customers struggle to find relevant products in large catalogs, leading to poor conversion rates and lost revenue. Traditional search and recommendation systems fail to understand nuanced product relationships and context.

Our Solution

We build custom AI agents that understand your product catalog at a deep semantic level, enabling intelligent search, personalized recommendations, and automated product categorization that adapts to your specific business needs and customer behavior.

The Enterprise Knowledge Agent

For: Large Organizations with Unstructured Data

The Problem

Critical knowledge is scattered across thousands of documents, wikis, and databases, making it impossible for employees to find accurate, up-to-date information quickly.

Our Solution

We create a unified intelligent agent that integrates all your data sources and provides precise, sourced answers to any question. This dramatically boosts productivity, reduces support tickets, and ensures consistent information across your organization.

The AI Data Processing Engine

For: Companies with Unstructured Data Challenges

The Problem

Teams waste months and millions on manual data preparation, classification, and enrichment, leading to delayed insights and missed opportunities.

Our Solution

We deploy custom agents that automatically process, categorize, and enrich your unstructured data with industry-leading accuracy, enabling real-time analytics and decision-making at scale.

Case Study: Hanger vs. Daydream

Our AI agents power Hanger, a platform that consistently outperforms well-funded competitors. Here's how our technology stacks up against Daydream, a $300M-funded startup from industry veteran Julie Bornstein.

Hanger (Our Platform)

Built on our bespoke AI agents

Hanger platform interface

✓ Nuanced product context (e.g. color, size, material)

✓ Real-time data processing

✓ Leading agentic search

Daydream

$300M funded, Julie Bornstein founder

Daydream platform interface

× Limited product categorization

× Static, one-size-fits-all approach

× Slower adaptation to new data

This demonstrates the versatility and power of our AI agent technology - we can build custom solutions that outperform even heavily-funded, specialized platforms.

Delivery Guarantee: Months, Not Years

Building reliable, production-grade AI agents is a hard data engineering problem. Our proprietary platform handles the complex backend work, allowing us to deliver custom solutions in months, not years.

Data Transformation

Convert unstructured data into structured, queryable formats optimized for AI processing.

Enrichment & Contextualization

Add semantic context and relationships to enable intelligent understanding and reasoning.

Low-latency Querying

Real-time response capabilities with sub-second query processing for production workloads.

Our Approach

  • Production-ready in 2-4 months
  • Iterative development & feedback
  • Bespoke solutions for your data

Traditional Approach

  • 18+ months to production
  • Costly infrastructure overhead
  • Multiple vendor dependencies

The difference? Our platform eliminates the complex data engineering work that typically takes years to build from scratch.

About Us

You're not just buying a platform; you're partnering with a team of dedicated experts in applied AI and data engineering.

Pavan

Pavan

CEO

Graduate of the top-ranked CS program at the University of Illinois. Former engineer at Everfox, focused on large-scale data systems and machine learning applications for enterprise security.

Adam

Adam

CTO

Specialized in machine learning engineering at the University of Illinois. Former engineer at Raytheon, building AI solutions for large data systems for radar and missile defense.

Ready to solve your hardest data problems?

Let's schedule a call to scope your first project and explore what's possible with a bespoke AI agent.