We build AI agents, copilots, and retrieval (RAG) systems on OpenAI, Anthropic, and open-source models. Each one ships with evals, guardrails, and logging, so you can trust it in production, not just in a demo.
In this capability
Autonomous and multi-agent systems, copilots, retrieval pipelines, tool-using agents, and document workflows—engineered to fit the way your team already works.
We map the workflow, define where autonomy helps, prototype against real data, then ship behind clear boundaries with tool-use, memory, and human-in-the-loop control.
OpenAI, Anthropic Claude, and open-source models via LangChain, LlamaIndex, and the Model Context Protocol (MCP)—chosen per task, with vector databases for retrieval.
Every agent ships with evaluation suites, guardrails, permission boundaries, and observability—so you can trust what it does in production, not just in a demo.
Agents we build for D2C and e-commerce brands first, and for operations-heavy teams in other industries.
The problem“Where is my order?”, returns, and sizing questions fill the support inbox every day.
What we build
The problemHundreds of products with thin descriptions, missing attributes, and no translations.
What we build
The problemStaff re-type supplier invoices, packing lists, and customs forms into the ERP.
What we build
This is how a support agent for an online store handles one of the most common questions, and where a person stays in control.
The agent reads the message, finds the customer, and identifies the order.
It pulls order status from Shopify and tracking from the courier, never guessing.
It answers with the real delivery date, or offers a return within your policy.
Refunds over a set amount, or unhappy customers, go to your team with a summary.
Typical phases. Exact timing depends on scope, and you get it in writing before we start.
We pick one workflow, collect real examples, and agree what “good” looks like.
A working agent on real tickets or documents, scored against an evaluation set.
Permissions, human hand-off, logging, and cost limits, then a staged rollout.
We track accuracy and cost, and extend the agent to the next workflow.
Picked for the problem and your team, not for fashion.
Full technology stack
Anthropic
LangChain
Hugging Face
PyTorch
MCP
Node.js
NestJS
Python
Django
FastAPI
Go
Rust
Java
Spring Boot
.NET
C#
PHP
Ruby on Rails
GraphQL
PostgreSQL
MySQL
MongoDB
Redis
Elasticsearch
Kafka
Snowflake
AirflowA production system, not a proof of concept, scoped around the workflow you actually need automated.
Talk to an engineerYes. We connect agents to Shopify, Shopify Plus, and help desks like Gorgias, Zendesk, and Intercom, plus your courier and return tools, so answers come from live data.
OpenAI, Anthropic Claude, and open-source models, chosen per task on accuracy, speed, cost, and where data can be processed. You are not locked into one provider.
Every agent ships with an evaluation set, guardrails, permission limits, and logging. Anything risky, like refunds or account changes, can require a person to approve it.
Yes. We build for brands and product teams in the US, UK, EU, and worldwide, with data processed in the region you need and GDPR, UK GDPR, and CCPA in mind.
A few lines is enough. You’ll hear back from an engineer, not a salesperson.