Applied AI
Applied AI Solutions for the Enterprise.
- Built on your data, not a demo dataset
- Proof of concept in 4–6 weeks
- Cloud, on-prem or edge
The engineering underneath
All solutions
What we build, end to end
Grouped by the kind of data they work on. Each page explains the pipeline, what goes in, what comes out and how it is deployed.
Drawings and construction
Everything that arrives as a plan sheet, a scan or a drawing set.
- Floor plan and drawing analysisRooms, walls, doors, windows and symbols read from PDFs, DXFs and scans, and returned as structured geometry.
- AI quantity takeoffWall lengths by type, room areas, door and window counts and MEP fixture totals, each traced back to the sheet it came from.
- Scan to BIM and digital twinsPoint clouds, site scans and legacy drawings converted into BIM-ready models of walls, floors and openings.
Real estate and PropTech
Listing imagery, property data and the documents behind a deal.
- Computer vision for real estateListing photos, video tours and inspection images turned into room types, feature tags, condition flags and compliance decisions.
- AI virtual stagingEmpty or dated rooms furnished photorealistically while walls, windows and floors stay exactly as photographed.
- Listing image taggingProperty features tagged and watermarks, contact details and PII caught on every photo as it is uploaded.
- AI property valuationValuation and rent forecasting models that combine listing data, images and floor plan layouts with market signals.
- Offering memorandum parsingRent rolls, NOI, cap rates and deal terms pulled out of 40 to 150 page OMs in minutes instead of hours.
- Lease abstractionTenants, rent schedules, break dates and clauses extracted from lease PDFs into a reviewable abstract.
Documents, language models and agents
Reading, reasoning and replying, including on data that cannot leave your network.
- Intelligent document processingInvoices, contracts, forms and IDs read, validated against your rules and routed into the systems you already run.
- Sovereign and private AILanguage and vision models running in your VPC, on your servers or fully air-gapped, with no third-party API calls.
- Social listening and engagementAgents that track brand conversations across Reddit, X and LinkedIn and draft on-brand replies for a human to approve.
- AEO and GEO optimizationGetting your site found, understood and cited by ChatGPT Search, Perplexity and Gemini rather than only by Google.
Computer vision beyond real estate
Cameras, video and images in industry, sport and design.
- Safety monitoringPPE checks, restricted-zone alerts and lifting posture analysis from the cameras already on your site, running on edge hardware.
- Sports analyticsPlayer and ball detection, tracking with stable IDs, team assignment and match events extracted from ordinary match video.
- Generative AI for mosaic tile artText prompts turned into artwork, then segmented and colour-matched into a manufacturable tile layout.
- Custom computer vision modelsDetection, tracking, segmentation and OCR trained on your own images when nothing off the shelf fits the problem.
AxcelerateAI in numbers
- AI engineers and specialists
- 50+
- AI models delivered
- 150+
- API requests served
- 2M+
- Typical proof of concept
- 4–6 weeks
Proof
Built, shipped and running
A cross-section of recent projects, from PropTech platforms to private LLMs, sports video and industrial safety.
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 & 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%+
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
Sports & MediaComputer VisionSoccer Match Analytics & Insights
The aim of this project is to give soccer analytics of matches being played. The goal is to build an AI tool that takes as input a video of a soccer match and then analyzes each player and extracts different analytics. This included: 1. Player and ball detection, 2. Player and ball tracking, 3. Player re-identification, 4. Field detection, 5. Event detection including passes, intercepts, goals etc.
Multi-stage CV pipeline. Real-time event detection. Player re-identification.
Read the case study
Industrial Safety AIComputer VisionAI-Powered Human Posture Analysis for Workplace Safety
Human Focus International wanted an AI system to analyze worker posture during heavy lifting to identify unsafe behavior and prevent workplace injuries.
Real-time pose analysis. Biomechanical rule engine. Automated ergonomic feedback.
Read the case study
Retail & E-commerceComputer VisionSneaker Visual Retrieval System
AlwaysLegit needed a way for their team at expos to instantly identify shoes from photos and match them against a massive 150K+ SKU database, often in challenging real-world lighting and backgrounds.
- SKUs searchable from a single photo
- 150K+
- Retrieval time per query
- <1s
How an engagement runs
From your problem to a model in production
The same three steps whichever solution you start from.
Step 1: Scoping call
30 minutes
An engineer looks at your data and workflow and tells you what is feasible, and what is not, before any commitment.
- NDA on request
Step 2: Proof of concept
4–6 weeks
A working pipeline on your own data, measured against targets agreed at the start.
- Accuracy reported honestly
Step 3: Production and support
Ongoing
Integration with your systems, deployment where your data has to live, then monitoring and retraining.
- You own the IP
Not sure which of these fits? An AI Opportunity Audit takes 3–5 business days and ends with a prioritised list, or go straight to custom AI engineering.
FAQ
Enterprise implementation FAQs
Common questions about integration, security and AI adoption timelines.
We wrap and extend rather than replace. We build lightweight APIs and middleware that connect our models (for example computer vision inference services) to your existing ERP or databases, so current systems keep running during rollout.
It depends on the use case and data. A typical proof of concept takes 4–6 weeks, and production rollout follows once the proof of concept meets the agreed success criteria.
We can deploy inside your own virtual private cloud (AWS, Azure, GCP), on your own servers, or on edge devices such as NVIDIA Jetson. Your data stays in your environment, which supports your own GDPR, HIPAA or internal governance obligations.
No. Our managed AI services cover model monitoring, retraining and infrastructure scaling, so your operational teams don't have to carry the MLOps work.
Most of our work is custom. These pages are the areas where we have gone deepest, but the underlying engineering (vision models, document AI, private LLMs, predictive models) is applied to whatever your data and workflow need. Start with a scoping call or an AI Opportunity Audit.
Related
Keep exploring
- Computer visionAI engineering servicesConsulting, custom models, training, edge deployment and managed services.
- IndustriesIndustriesWhere we have shipped AI: real estate, construction, healthcare, retail and more.
- CompanyCase studiesClient projects with the problem, the build and the measured results.
- 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