G&BGatehouse & Bateman
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// ai_integration & enterprise_engineering

AI, integrated with enterprise-grade engineering.

We work with teams of every size, from founders shipping a first product to enterprises modernizing complex systems.

Book a quick callExplore services
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12+
years in practice [placeholder]
140+
projects delivered [placeholder]
18
industries served [placeholder]
98%
client retention [placeholder]
// services

Four disciplines, one standard of engineering.

Every engagement is built to the same bar: secure, scalable, and maintainable long after we hand it over.

AI Integration

Put models to work inside the systems you already run.

  • LLM integration
  • AI agents and workflow automation
  • AI search over company data
  • AI readiness assessments

Enterprise-Grade Development

Software designed for scale, audit, and a long service life.

  • Scalable architecture
  • Security and compliance
  • Legacy modernization
  • Cloud infrastructure

Data Aggregation & Collection

Turn scattered sources into one reliable layer.

  • Data pipelines and ETL
  • Data ingestion and collection
  • Unifying multiple sources
  • Quality, lineage, and monitoring

API Development & Integration

Well-defined interfaces between the systems that need to talk.

  • Custom APIs
  • Third-party integrations
  • System-to-system connectivity
  • Versioning, auth, and rate limiting
// expertise · language-agnostic by design

Fluent in your stack, whatever it is.

We choose the right tools for the problem rather than forcing a favorite. Most of our work lands in the systems you already have.

> core_expertise
C-family languages, where performance and correctness are not negotiable.
C
Embedded, drivers, high-throughput services
C++
Low-latency systems, engines, numerics
C# / .NET
Enterprise platforms, services, integrations
Java
Large-scale backends, JVM ecosystems
PythonBackend
Services, tooling, and glue code around data and AI
TypeScript / JavaScriptBackend
Node.js services and full-stack products
GoBackend
High-concurrency APIs and infrastructure tooling
KotlinBackend
JVM services and Android
.NETBackend
Enterprise services, workers, and integrations
Node.jsBackend
APIs, gateways, and event-driven backends
SQL / PostgreSQLData
Transactional systems and analytical modelling
Spark / dbtData
Large-scale transformation and warehouse modelling
KafkaData
Streaming ingestion and event pipelines
Snowflake / BigQueryData
Cloud warehouses as the unified data layer
AirflowData
Orchestration for scheduled and dependent pipelines
LLM APIsAI/ML
OpenAI, Anthropic, and open-weight models in production
PyTorchAI/ML
Custom models and fine-tuning when off-the-shelf falls short
Vector searchAI/ML
Retrieval over company documents and records
Agent frameworksAI/ML
Tool-using workflows with human checkpoints
RustSystems
Memory-safe systems code and performance-critical paths
Linux / embeddedSystems
Drivers, daemons, and device firmware
KubernetesSystems
Container orchestration and platform engineering
AWS / Azure / GCPSystems
Cloud architecture, IaC, and cost control
ReactWeb & Mobile
Web front ends and internal tools
SwiftWeb & Mobile
Native iOS applications
React NativeWeb & Mobile
Cross-platform mobile from one codebase
Next.jsWeb & Mobile
Marketing sites and server-rendered apps

Don't see your stack? We probably work with it — ask us.

// engagements · find your fit

Two questions, one recommendation.

Tell us where you are and what you need. We'll point to the engagement that usually fits, and you can take it from there on a call.

01 · What best describes you?
02 · What do you need?
> awaiting_input · pick a profile to begin
All engagements
Discovery SprintShort, fixed-length engagement to scope and plan
AI Readiness AssessmentEvaluate where AI can create real value
Fixed-Scope ProjectDefined deliverables and timeline
Dedicated Team / Staff AugmentationSenior engineers embedded in your team
Ongoing Support & RetainerMaintenance, monitoring, continuous improvement
// process

How we work.

01

Discover

We learn your systems, constraints, and what success looks like. Usually a week or less.

02

Plan

Architecture, scope, and a timeline you can hold us to. Written down, agreed, no surprises.

03

Build

Senior engineers ship in short cycles with reviews, tests, and demos you can see.

04

Support

Monitoring, maintenance, and steady improvement for as long as you need us.

// work

Same standard, three very different scales.

STARTUP · SEED[placeholder]

AI copilot inside a first product

Problem

A 6-person team needed an LLM feature shipped before their next raise, without hiring an ML engineer.

Solution

A 4-week fixed-scope build: retrieval over customer data, evaluation harness, and cost guardrails.

Result

Shipped on schedule; feature cited in the Series A deck. [metric placeholder]

MID-SIZE · LOGISTICS[placeholder]

One data layer from eleven sources

Problem

Operations data lived in spreadsheets, two ERPs, and vendor portals. Reporting took a week.

Solution

Ingestion pipelines with schema contracts, a unified warehouse, and APIs for downstream tools.

Result

Same-day reporting; the retainer now covers monitoring and new sources. [metric placeholder]

ENTERPRISE · FINANCIAL SERVICES[placeholder]

Modernizing a C++ core without downtime

Problem

A 20-year-old settlement engine blocked cloud migration and every new integration.

Solution

Discovery Sprint, then a dedicated team: strangler-pattern services in C# and Java behind a governed API gateway.

Result

Zero-downtime cutover; audit passed first time. [metric placeholder]

// what clients say · [placeholder quotes]
They shipped our AI feature in four weeks and left us with code our own team could actually maintain. Placeholder quote.
A. Placeholder
Co-founder & CTO · startup · 8 people
> book_a_call

A quick call is the way in.

Thirty minutes with a senior engineer, not a sales rep. We'll listen, ask a few questions, and tell you plainly whether we're a fit.

  • No prep needed
  • Times shown in your local time zone
  • Under a minute to book
01 TOPIC
02 DATE
03 DETAILS
04 DONE
Topic