We build AI systems that still work when you scale.

It’s harder than it sounds.

700+

engineers

150+

AI/ML specialists

10+

years launching AI Products

The last mile engineering problem

AI capability is increasing dramatically. Shipping it inside an enterprise is a different problem entirely.

Foundation models keep getting better, agents are becoming useful, and open standards are maturing. But getting from a working model to a reliable production system is where most projects stall.

Problems that appear when scaling AI in enterprises:

Optimizing cost and latency so it’s viable at production volume
Wrapping everything in compliance, safety, and quality layers)
Handling edge cases that don’t appear in demos but explode at scale
Building custom models when foundation models plateau on your data

80% of the way is easy. 

The last 20% is where it all breaks.

A decade of production AI taught us where systems fail, so we engineer the last mile from the start to help projects reach real-world production.

Proof of impact

What it looks like in practice

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Virtum

A unified, browser-based platform for storing, analyzing, and collaborating on high-resolution medical images — built to make histopathology workflows AI-ready, shareable across institutions, and compliant with healthcare’s security demands.

Key outcomes

Searchable medical image library
Browser-based peer collaboration
API-ready for AI

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Ashoka

A user-research-led product design engagement that turned Ashoka’s powerful but bottlenecked internal AI search tool into an intuitive, self-serve interface — making the database accessible to partnership, selection, and PR teams without technical hand-holding.

Key outcomes

Generative AI made usable org-wide
Self-serve access for non-technical users
Minimal training to onboard

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Ex Parte

A predictive analytics engine that turns decades of court case data into probability-based outcome forecasts — helping companies and law firms replace gut-feel litigation decisions with evidence, starting with patent appeals and built to scale across thousands of variables.

Key outcomes

Predictive AI to forecast legal case outcomes
Data-driven insights replacing guesswork
Faster, more informed legal decision-making

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Furniture retailer

A search engine that lets shoppers find furniture by image or natural-language prompt — trained on product photos and designed rooms to understand how pieces fit together by style, color, and context.

Key outcomes

Search that understands style
Lower search abandonment
Higher purchase confidence

Services

Three things Solvd does exceptionally well

01 Core AI

Custom AI systems performing in production built by a research-backed team that’s solved the hardest problems in computer vision, NLP, and agentic workflows at scale.

Explore Core AI

02 AI Data & Cloud

Data pipelines, cloud architecture, and governance systems that make AI work reliably at scale by integrate data, architecture, security and governance.

Explore AI Data & Cloud

03 Agentic Software Engineering

Software delivery combining deep engineering expertise with AI-native tooling to accelerate development cycles and modernize legacy systems.

Explore Agentic Software Engineering

Solvd AI excellence

We work alongside Anthropic and OpenAI to define Agentic protocols

World-class AI research meets industry-leading partnerships. Researchers and engineers working side by side to solve the hardest AI problems in production.