AI Services / Deep Learning

Deep learning systems built for the hard problems

We design, train, and deploy deep learning models — CNNs, transformers, GNNs, custom architectures — for the problems where off-the-shelf APIs can't reach. From research-grade exploration to production deployment with eval-first discipline.

10+
Custom architectures shipped
92%
Production acceptance rate
GPU
Cluster orchestration
12+
Eval frameworks per task

Why Empiryx

Why teams come to us for hard DL problems

Custom architectures when pre-trained API approaches can't make the lift
Research-grade exploration with engineering discipline — not 'looks great in a notebook'
Distributed training on GPU clusters, orchestrated for cost and throughput
Continuous eval on every training run — golden sets over time, not vibes
Serving patterns that handle warm-start, batching, and graceful degradation
Model versioning, lineage tracking, and reproducibility built in

Expertise

What we build

01

Custom architectures

Bespoke networks and hybrid stacks for problems where pre-trained models can't reach.

02

Vision & vision-language

Vision, OCR, and vision-language models tailored to your visual data.

03

Sequence & time-series

Forecasting and sequence models for signals, demand, and behavior.

04

Graph neural networks

GNN-based reasoning for relationships, recommendations, and fraud.

Expertise

Roles & capabilities we specialise in

A deeper look at the specialists we place and the work they ship.

CNNs & ViTs

Vision architectures tuned for your image domain — medical, industrial, satellite.

Transformers

Sequence models tailored to your token space and objective.

GNNs

Relational reasoning for graphs, networks, and recommendation.

Diffusion models

Controllable generation when pre-trained image models don't fit.

Distributed training

GPU cluster orchestration: DDP, FSDP, pipeline parallel picked per workload.

Serving

Triton, TorchServe, and vLLM patterns tuned for throughput and warm-start.

Industries we serve

Built for high-stakes sectors

Domain-aware engineers who understand your sector's constraints — not just the syntax.

Healthcare

Imaging and signal models

Manufacturing

Visual inspection and quality models

FinTech

Fraud and graph models

MLOps Platforms

Foundational model platforms

FAQ

Answers to common questions

Process

How it works

01

Problem framing

We translate your business problem into model objectives, eval criteria, and constraints.

02

Architecture search

We explore the model space — pre-trained baselines, fine-tunes, and custom stacks.

03

Train & eval

We train on your data with continuous eval and reproducible tracking.

04

Serve & operate

We deploy behind production plumbing and operate with drift monitoring.

Get started

Deep learning built to ship beyond the notebook

Bring the problem. We'll bring the architectures, the evals, and the ops.

Let's talk

Tell us what you're building

Share your engineering goals and the Empiryx team will respond within 24 hours with a tailored path forward.