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Your OpenAI implementation partner, from pilot to production
FullStack builds production systems on OpenAI — retrieval, agents, voice, multimodal — and runs five of them inside our own business. We bring the engineering discipline that turns an OpenAI capability into something your users depend on.
We can do it.
Our expertise includes retrieval-augmented systems on OpenAI embeddings, agents on the Agents SDK, voice interfaces on the Realtime API, multimodal workflows, and Codex adoption across engineering teams.
We use OpenAI inside our own products first, then bring it to client systems when it is the right fit for the business, technical and transformation goals — which is a judgment we can make because we also ship on other stacks.
How FullStack works with OpenAI.
We use OpenAI across FullStack
Our teams use OpenAI technology for software development, including Codex, and inside internal systems that change how we build, operate and deliver. Five production systems in our own business run on it — retrieval, prospecting, voice, client-facing search and talent matching.
We bring OpenAI to our clients
We recommend and integrate OpenAI technology into our AI offerings when it fits the customer's business, technical and transformation goals — and we say so when it doesn't. Deployment runs through the OpenAI API or Azure OpenAI Service, whichever your compliance posture already approves.
We invest in OpenAI expertise
We continuously upskill our engineers on OpenAI technologies, and the expertise shows up as delivery capability rather than a certificate: working eval harnesses, cost and latency tuning, and patterns we've already broken and fixed in our own products.
We're building for the long term
We treat this as a long-term relationship — collaborating on capabilities, market opportunities and joint go-to-market rather than transacting on licenses.
Five OpenAI systems we run in production.
Aria
Aria is FullStack's voice agent platform, built on OpenAI's realtime voice models. It runs structured interviews — candidate pre-screening, client qualification, follow-up calls — adjusts the conversation path to get the data points it needs, and returns a structured outcome summary and CRM record rather than a raw transcript. Voice touchpoints scale without the headcount scaling with them.
SalesRag
SalesRag combines OpenAI text embeddings with a vector database to give revenue teams a natural-language interface over sales collateral, case studies, pricing and scope documents, ingesting live data from Connect, FullStack's internal platform. It cut answer latency during live deal cycles and keeps global pricing and messaging consistent.
Ask AI
Ask AI maps a conversational client request — "a senior React Native developer who has scaled fintech payments" — onto structured developer profiles using OpenAI embeddings against the Connect database, and advises on service offerings and team structures. Talent discovery went from days of back-and-forth to a self-serve query.
SalesNav
A desktop application that pairs OpenAI multimodal models with live web research to profile target accounts — funding rounds, key hires, product launches — and draft outreach grounded in what it found, replacing generic cold outreach with contextual messaging at scale.
Talent AI-Matching
A daily agentic batch process that cross-analyzes candidate profiles against open client requisitions on skill stack, verified experience, certifications, timezone and availability, then generates qualified candidate pitches. It surfaces matches before roles are formally posted.
Also in production for clients:
