Foundation Models
Fine-tuning, LoRA adapters, and RLHF on the right model, not the biggest one.
ShipAIThatHoldsUpInProduction.
A boutique studio for AI engineering, custom backend architecture, and full-stack delivery. From the first eval to a production fleet.
The stack we build on
AnthropicOpenAIPostgreSQLKubernetesAWSVercelRedisTerraformNext.jsPyTorchCloudflareSnowflakeDockerPythonTypeScriptReact
what we do best
The AI Engineering Studio
Small senior team, production standards, no hand-off to a junior bench.
Evaluation Harness
Offline and online evals, drift detection, and regression gates before ship.
Retrieval Pipelines
Hybrid search, graph retrieval, and reranking that survives real corpora.
Agent Runtimes
Tool-use, planning, and recovery loops built to fail safely.
Inference Fleet
GPU capacity, multi-region routing, and cost per token you can forecast.
Data Foundry
Curation, labelling, and audit trails that make the eval trustworthy.
Guardrails
Policy enforcement, safety layers, and red-teaming as a standing practice.
Product Surfaces
Web, API, and embedded interfaces. The part your users actually touch.
integrations
We Build Into Your Stack
Systems we wire into on a regular basis. If it has an API, or even just a database, we can reach it.
AnthropicOpenAIGeminiMistralLlamaDeepSeekHugging FaceOllama
PostgreSQLSnowflakeBigQueryDatabricksMongoDBRedisAmazon S3Supabase
ElasticQdrantMilvusLangChainKafkaRayPythonPyTorch
AWSGoogle CloudAzureKubernetesTerraformDockerCloudflareVercelNVIDIA
SalesforceHubSpotSlackNotionLinearJiraStripeShopifyTwilio
how we work
Engineering Standards, Not Slideware
What every DarCode engagement commits to, regardless of size.
Evals Before Demos
No system ships on a cherry-picked demo. We define the benchmark first, then build against it.
Method001
You Own The Code
Full source, infrastructure-as-code, and documentation transfer at handover. No lock-in to us.
Ownership002
Senior Engineers Only
The people in the scoping call are the people writing the code. No bait-and-switch staffing.
Team003
Cost Modelled Upfront
Inference spend, infrastructure, and scaling curve estimated before a line of code is written.
Economics004
Services
Systems We Build, End to End
Designed for teams that need the thing working in production, not a proof of concept.
Contracts, reports, and filings ingested, parsed, and chunked.
Quarterly_Report.pdf
Financial report queued for automated review
Pull key financial indicators and produce a structured summary.
Prompt
Extract revenue, profit, operating expenses, and cash flow from the uploaded report. Return a structured summary with citations to page numbers.
Claude Sonnet 4.5382 Tokens
Route the reviewed summary to internal stakeholders.
Financial Report Summary
Review and summarise financial data with a cited model pass
Illustrative preview of a DarCode-built workflow
Landscape
Where DarCode Sits
Studio-grade engineering depth with the delivery speed of a small team. It is the quadrant most agencies and most platforms both miss.
Freelancers
Dev shops
Big consultancies
No-code platforms
DarCode
delivery speed
Solutions
Designed for Your Team
DarCode plugs into the team you already have, at whatever stage the work is in.
Founders & Startups
Get from idea to a defensible v1 without hiring an ML team you cannot yet afford.
Platform Teams
Add AI surfaces to an existing product without destabilising the platform underneath.
Data Teams
Turn warehouses and lakes into retrieval systems that answer questions reliably.
Product Teams
Design, build, and instrument the AI features your roadmap already promised.
Operations
Automate the document-heavy, repetitive middle of the process with a human in the loop.
Research Groups
Take a working prototype and give it the infrastructure to run continuously.
Get started
Let's Build It, Together
Tell us what you are trying to ship. We will tell you the three shortest paths to it, and which one we would actually take.