Custom AI engineering
Custom AI Engineering Services
- 150+ models delivered
- 50+ engineers and specialists
- Reply within 1 business day
Focus areas
Where we have gone deepest
These four areas take most of our engineering time, and they are where we can show the most prior work.
Floor plan and drawing AI
Rooms, walls, doors, symbols and dimensions read from floor plans and construction drawings, for takeoffs, compliance checks and valuation.Quantity takeoffs · Code compliance · Drawing reviewExplore floor plan AIPropTech AI
Generative and analytical tools for real estate: virtual staging, listing image tagging, offering memorandum parsing and valuation models.50+ features tagged per listing photo for PropTexxExplore PropTech AISocial listening and engagement
Agents that track the conversations that matter to your brand and draft on-brand replies your team reviews before posting.Reddit, X, LinkedIn and InstagramExplore social listeningSovereign and private AI
Language and vision models on your own servers, VPC or an air-gapped network, so sensitive data never leaves your perimeter.Mixtral 8x7B fully offline for PharmaBrainExplore private AI
Services
Engage us for the whole build, or one stage of it
Every service below is a standalone engagement, and they combine into a full project when you need one team from scoping to support.
- Consulting
AI and computer vision consulting
Feasibility, model selection and architecture advice from the engineers who would build it, before you commit a budget. - Computer vision services
Computer vision development
End-to-end vision systems: detection, tracking, segmentation, OCR and video analytics, from data strategy to production. - Custom models
Custom computer vision models
One model for one specific problem, trained on your images and edge cases, then deployed where you need it. - Model training
Model training
Dataset curation, annotation, training runs, evaluation per class and retraining as your production data changes. - Edge deployment
Edge deployment
Models optimised for NVIDIA Jetson, mobile devices and on-site servers, for low-latency inference without constant connectivity. - Managed services
Managed AI services
Monitoring, retraining and infrastructure support for models in production, so your team does not carry the MLOps load. - Hire engineers
Hire AI engineers
Computer vision and ML engineers who join your team on a dedicated, part-time or project basis. - Document AI
Document AI (IDP)
Structured fields extracted from invoices, contracts, leases and forms, validated and routed into the systems you already use. - AEO & GEO
AEO and GEO
Site structure, schema and content set up so AI assistants and answer engines can find, understand and cite your business.
Looking for ready-made use cases instead? Browse all solutions or see the industries we work in.
Capabilities
Not only vision: the AI stack we build with
Most projects combine more than one of these. A drawing pipeline mixes vision, OCR and an LLM reasoning over structured data; a private assistant mixes RAG with on-prem deployment.
Computer vision
Detection, tracking, segmentation, OCR, pose estimation and visual search on photos, video, drone footage and scans.Player tracking, drone detection, visual searchComputer visionLLMs, agents and RAG
Assistants that answer over your own documents, and agents that draft work for a human to approve. Hosted or fully private.RAG over thousands of reports, air-gappedSee a private LLM buildDocument AI
Layout-aware extraction from PDFs and scans: leases, offering memorandums, invoices and identity documents.95%+ field-level accuracy on typical documentsDocument AIPredictive analytics
Forecasting and scoring models on your operational data: rents, demand, anomalies and lead prioritisation.Rent forecasting and ROI simulation for Reath AIPredictive modelsGenerative AI
Fine-tuned image generation and editing pipelines, from virtual staging to text-to-design for manufacturing.Staged listing photos that keep real architectureGenerative AIMLOps and deployment
Serving, monitoring, drift detection and retraining, in your cloud, on-prem or on edge devices.Cloud, on-prem, air-gapped or edgeManaged services
How we work
Small, measurable steps, starting with your data
No long discovery phase before you see something working on your own files.
Step 1: Scoping or audit
3–5 business days
A working session on your data, systems and the decisions you want to automate, and an honest answer on feasibility.
- NDA on request
Step 2: Proof of concept
4–6 weeks
A working pipeline on your own data, measured against the targets we agree at kickoff.
- Accuracy targets agreed up front
Step 3: Production and support
Ongoing
Integrated with your systems, deployed to cloud, on-prem or edge, then monitored and retrained as conditions change.
- You own the IP
Our work
Recent projects
Document AI, listing intelligence, generative staging and a fully private LLM, each with the problem, the build and the result.
Real Estate & PropTechIntelligent Document ProcessingAI Offer Memorandum Parsing & Investment Intelligence
For commercial real estate brokers, lenders, and investors, evaluating an Offering Memorandum (OM) is a massive bottleneck. These 40-150 page documents are packed with crucial investment data hidden in complex tables, paragraphs, and financial projections that take hours to manually process.
- OM analysis time, down from several hours
- <3 min
- Extraction accuracy on critical financial fields
- 95%+
Real Estate & PropTechComputer VisionAI Property Image Intelligence for Listing Optimization & Compliance
PropTech founders and real estate leaders understand that property photos are the most critical asset in closing deals. PropTexx needed an automated way to enforce strict listing compliance and extract valuable insights from millions of unstructured real estate images without slow manual review.
- Property features tagged automatically
- 50+
- Compliance violation types detected
- 15+
Real Estate & PropTechGenerative AIAI-Powered Virtual Staging and Renovation
Buyers respond better to furnished rooms, but physical staging is expensive and slow. PropTech founders and real estate agency owners need a highly scalable, photorealistic virtual staging automation tool that works instantly.
- Lower staging cost than physical staging
- 90%+
- Increase in inbound leads on staged listings
- 40%
Health & FitnessGenerative AIPharmaBrain: Private, Air-Gapped LLM for Medical Research
Atacana needed a private, air-gapped LLM deployment: a medical research assistant that answers complex questions over thousands of proprietary news reports and drug discovery updates each day, without any data leaving its own servers.
- Offline, on local servers
- 100%
- Quantized Mixtral 8x7B
- 8-bit
FAQ
Service delivery FAQs
How we scope, price and run AI engagements.
Questions about data handling and IP? See how we handle security.
Both. We can integrate foundation models through APIs when that is the fastest route, but most of our work is training custom models (especially computer vision) on your own data, so you get the accuracy you need and own the resulting IP.
We work under NDA and can run training inside your own virtual private cloud (AWS, GCP, Azure) or on your own servers, so raw data never leaves your environment.
For well-defined problems we work on a fixed-scope project basis, usually starting with a proof of concept (typically 4–6 weeks). For ongoing work we provide dedicated engineering pods under a managed AI services retainer.
Yes. Much of our computer vision work involves optimizing models for edge deployment (for example NVIDIA Jetson, mobile devices or local CCTV servers) to run real-time, low-latency inference without constant cloud connectivity.
Start with an AI opportunity audit or a scoping call. We look at your data, systems and the decisions you want to automate, and come back with what is feasible. The audit typically takes 3–5 business days.
You do. Work is delivered under NDA and you own the IP, including trained model weights and the surrounding pipeline code.
Related
Keep exploring
- Computer visionCustom computer vision modelsModels trained on your own images, video and edge cases.
- Computer visionComputer vision developmentDetection, tracking, segmentation and OCR systems built for production.
- Computer visionEdge deploymentModels optimised for NVIDIA Jetson, mobile and on-prem hardware.
- CompanyAI Opportunity AuditFind where AI pays off in your business before you build anything.
Book a strategy session
Talk to an AI engineer about your project
Tell us what you want to automate. The first call is a 30-minute working session with an engineer, not a sales pitch.
- Send the form, it takes 2 minutes
- We reply within 1 business day, under NDA if you need it
- A 30-minute call to scope feasibility and next steps