Turn AI opportunities into production systems.
Build AI around real business workflows, including agents, voice agents, RAG, document and knowledge workflows, and LLM/SLM applications.
Explore AI engineeringBuild AI that works in production.
PhiGrad is an AI engineering partner for companies building and scaling with AI. We help you build AI systems, make them reliable, and make them economical to scale.
Trusted by teams building with AI
Are you asking these questions about AI?
Whether you're exploring AI or already running it in production, you may be asking:
01 · Before you build
Which workflows are actually worth automating?
What should AI handle, and what should remain deterministic?
Should we build, buy, or adapt an existing AI solution?
Do we have the data and infrastructure needed to make it work?
02 · Once it's running
How do we know when the AI is wrong?
How do we continuously improve its reliability and quality?
How do we keep AI costs under control as usage grows?
How do we keep our AI systems reliable as models and data change?
03 · As things change
How do we adopt better models without rebuilding everything?
How do we make our AI systems easier to evolve and operate?
How do we scale AI usage without costs getting out of control?
These are the problems PhiGrad helps solve.
What we help you achieve
From building new AI systems to improving AI already in production.
Make AI accurate, measurable and safe.
Improve AI quality through evaluation, observability, guardrails, security, governance and production controls.
Improve AI reliabilityReduce the cost and complexity of running AI.
Optimize model selection, routing, inference, infrastructure, latency and workloads without blindly sacrificing quality.
Optimize AI economicsNot sure where AI fits?
You don't need to arrive with an AI use case already defined. We can work with your product and business teams to identify workflows where AI could create measurable value, assess feasibility, and determine what is worth building.
The engineering behind production AI
The technical capabilities we bring to build, operate and improve AI systems.
Build AI that can actually do the work.
Design and build reliable agents, including voice agents, that reason, use tools and execute real business workflows.
Turn unstructured information into action.
Build AI systems that extract, understand and reason over complex documents and knowledge, turning unstructured information into structured, actionable information.
Choose, adapt and optimize the right models.
Evaluate, fine-tune and deploy LLMs and SLMs for specific tasks, balancing accuracy, latency, cost and control.
Know when your AI is actually working.
Build evaluations and observability into AI systems to measure quality, detect failures and understand behavior in production.
Make AI safer to operate at scale.
Design controls for agents and AI applications that improve security, governance, privacy and auditability.
Make AI production-ready and economical.
Optimize inference, model routing, infrastructure and workloads for better performance, scalability and cost.
AI engineering, in practice.
Real problems. Measurable outcomes.
AI-Powered Claims Processing
Insurtech
Simplified an insurance document pipeline: costs down 50%, accuracy up from 60% to 80%.
Engineering Drawing Analysis
Infrastructure
Guided an AI pipeline that reads engineering drawings, automating highway bidding with 98% accuracy.
GTM Copilot
GTM Technology
Led AI architecture and engineering for a GTM copilot that turns client requirements into waterfall models and routes tasks to cost-effective APIs.
Building an AI Center of Excellence
Technology Services
Helped establish and scale an AI capability from initial POCs to multiple client deployments, while contributing to architecture, delivery practices and the development of the AI CoE.
AI for Asset Management Compliance
Fintech
Identified and developed AI opportunities across compliance workflows to streamline processes and improve operational efficiency.
What our clients say
Feedback from teams we have built and improved AI systems with.
“PhiGrad helped us significantly improve our insurance claims processing pipeline. They brought a practical approach to AI engineering, helping us reduce processing costs significantly and improving accuracy. What stood out was their ability to understand our business problem and translate it into a production-ready solution.”
Dr. Sangita Shinde
Health Product Head
An AI engineering partner, not a developer shop.
We work as an AI engineering partner, not simply as a team of developers. Depending on what you need, PhiGrad can:
Lead an AI initiative
Own architecture, engineering and delivery.
Work alongside your team
Bring senior AI expertise into an existing product or engineering organization.
Provide fractional AI leadership
Help establish technical direction, architecture, AI engineering practices and delivery capability.
Have an AI problem worth solving?
Whether you're figuring out where AI fits, building your first production system, or trying to make an existing AI system better and cheaper, let's talk.