Build AI That Actually
Works.
We design, build and deploy production-ready AI infrastructure and liquid-cooled clusters that automate workflows, reduce operational costs, and help enterprises scale.
AI infrastructure &
HPC Nvidia Enterprise Stack
HPC Solutions
Build out HPC solutions both on-premises, in co-lo’s and in cloud/hybrid architectures. We are vendor agnostic – choosing the best components.
- Vendor agnostic best-of-breed components
- Free yourself from vendor lock-in
- Tailored for CPU, GPU, networking and storage
Quantum Computing
The future of accelerated computing. Make a step-change in processing power for simulations, encryption and parallel computation applications.
- Quantum Computing simulation tools
- Head start on coding and testing algorithms
- Understand quantum superposition & entanglement
Data Storage & Management
Simplify the complexity of data storage. Achieve a better balance of capacity, performance and cost tailored to fit your exact needs.
- Timely access and data protection
- Resilience with no single points of failure
- From SSD, NVMe to cloud and object storage
Trayaksh.ai Cloud
A best-of-breed solution framework bringing the benefits of cloud computing to HPC with an extra layer of flexibility and support.
- On-demand, as-a-service environments
- Public, private or hybrid options
- Fully managed or self-managed setups
eXtreme HFT Servers
Create rock solid trading infrastructure. Overclocked servers rigorously tested to deliver the promised speed day in day out for years.
- Custom designed chassis and liquid cooling
- Reliable custom BIOS overclocking
- Intel Core CPUs with connectivity options
Bespoke Servers
A personal approach to each build, balancing power and heat demands to deliver a system that is reliable, durable, and tailored to you.
- Best-of-breed parts and extensive bench testing
- Pre-installed OS, CUDA and AI/ML libraries
- Direct contact with the engineering team
Data and AI Solutions
Custom designed to cater towards specific project requirements to establish optimisation and achieve maximum scalability and efficiency.
- Store and process large datasets simultaneously
- Deploy validated reference architectures
- Solutions including Hadoop, Kinetica, MapR
Networking
Ethernet and InfiniBand solutions for software defined networking and Open Network protocols, ensuring lowest latency and highest through-put.
- Latest NVIDIA Networking 200Gb/s switches
- High speed InfiniBand switches and NICs
- Upgrade legacy networks for connected devices
AI for Data Scientists
Dedicated GPU accelerated hardware for compute-intensive Deep Learning and Machine Learning models to help you apply models in the wild.
- Workstations like NVIDIA DGX Station A100 or DevCube
- GPU Servers from Trayaksh.ai
- Small IPU clusters from Graphcore
Scaling AI Infrastructure
Take your organization from cloud POC to workstations and small teams, to full clustered architectures with planned growth in resources.
- DGX systems, NVIDIA PODs and SuperPODs
- Bow Pods from Graphcore
- Optimized data storage, networking and compute
xPU (CPU, DPU, GPU, IPU)
Trayaksh.ai supplies a range of the latest processor unit types designed specifically for the applications and data types involved.
- CPUs built with AMD, Intel, and ARM
- DPUs from NVIDIA, Intel, and AMD
- GPUs for graphics rendering and AI/ML
- IPUs specifically designed for AI/ML
Storage Solutions
Storage is at the core of an effective IT infrastructure. From small 10TB to 40+ PB, each solution is tailored to your requirements.
- Timely access and secure data protection
- Resilience with no single points of failure
- Scale and grow without fork-lift upgrades
- File, Block, and Object storage solutions
From idea
to production
Discovery &
Scoping
Deep-dive sessions to understand your business, data landscape, and success criteria. We define scope, feasibility, and expected ROI before a single line of code is written.
- Stakeholder interviews (business, data, engineering)
- Data audit: quality, volume, labeling readiness
- Define success metrics and acceptance criteria
- Technical feasibility and risk assessment
- Scope, timeline, and budget agreement
Proof of
Concept
Rapid prototyping to validate technical assumptions and demonstrate value. Typical delivery in 2–3 weeks with real data and measurable baseline metrics you can present to leadership.
- Data preprocessing and exploratory analysis
- Baseline model training and benchmarking
- POC demo with initial performance metrics
- Gap analysis vs. production requirements
- Go/no-go recommendation with clear rationale
Build &
Iterate
Agile development with weekly demos and feedback loops. We engineer for performance, reliability, and scalability from day one — not as an afterthought when problems arise.
- 2-week sprints with defined deliverables
- Weekly written progress reports + demos
- Continuous integration and automated testing
- Ongoing model improvement and feature additions
- Regular stakeholder reviews and course corrections
Deploy &
Support
Production deployment with full monitoring, documentation, and team enablement. Optional ongoing support packages ensure your AI systems keep improving after launch.
- Staged rollout with canary deployment and rollback plan
- Monitoring dashboards: performance, drift, and cost
- Runbooks, architecture docs, and API documentation
- Team training and knowledge transfer sessions
- Optional managed operations retainer post-launch
Expertise across
every vertical
Fraud detection, credit scoring, algorithmic trading, regulatory reporting automation, and wealth management personalization.
Clinical decision support, patient risk stratification, radiology AI, drug discovery, and revenue cycle optimization.
Demand forecasting, dynamic pricing, recommendation engines, inventory optimization, and customer lifetime value modeling.
Predictive maintenance, quality inspection vision AI, supply chain optimization, and production scheduling.
Grid load forecasting, renewable energy optimization, equipment failure prediction, and carbon emission monitoring.
Route optimization, demand sensing, warehouse automation, last-mile delivery prediction, and carrier rate forecasting.
Outcomes that
speak
Reducing ICU readmissions for a top-5 hospital network
Built a real-time patient risk scoring engine trained on structured EHR data and unstructured nursing notes. Deployed across 12 hospital sites, it surfaces high-risk patients 48 hours before critical deterioration.
Real-time fraud detection at 50M txns/day
Graph neural network detecting novel fraud patterns across transaction networks with sub-200ms latency. Reduced false positives by 60% vs. the previous rule-based system, saving $4.2M in operational costs annually.
Dynamic inventory optimization across 200K SKUs
Multi-horizon demand forecasting deployed across 14 markets and 6 distribution centers. Incorporates weather, promotions, and macroeconomic signals. Cut stockouts by 41% and reduced excess inventory carrying costs.
Reducing ICU readmissions for a top-5 hospital network
Built a real-time patient risk scoring engine trained on structured EHR data and unstructured nursing notes, deployed across 12 hospital sites. The system surfaces high-risk patients 48 hours before critical deterioration, enabling proactive clinical intervention.
Real-time transaction fraud detection at 50M transactions/day
A leading payments processor needed to replace a brittle rule-based fraud system generating too many false positives and missing novel fraud patterns. We built a graph neural network that models relationships between accounts, devices, merchants, and IP addresses in real time.
Dynamic inventory optimization across 200K SKUs in 14 markets
A global fashion retailer was carrying $47M in excess inventory while still experiencing frequent stockouts of top-selling items. We built a probabilistic demand forecasting system incorporating 120+ signals including weather, social trends, promotions, and macroeconomic indicators.
The full
stack
Framework-agnostic and tool-agnostic. We select technology based on what's right for your problem — not what's fashionable.
Our engineers hold certifications across AWS, GCP, and Azure, and are active contributors to several open-source ML projects.
Foundation Models & LLMs
ML Frameworks
Cloud & Infrastructure
Data & Vector Stores
Language Models
Vision Models
Embedding Models
Generative Media
Model Serving & Optimization
We specialize in LLM inference optimization — quantization, batching strategies, and caching — to reduce serving costs by 40–70% vs. naive deployments.
Experiment Tracking & MLOps
Cloud Platforms
Warehouses & Lakehouses
Vector Databases
Orchestration & Streaming
People who've
done it before
Arjun Patel
Former ML Research Lead at DeepMind and Principal Engineer at Stripe. Led AI initiatives across payments fraud, risk modeling, and NLP. PhD in Machine Learning from Cambridge.
Sofia Kim
Previously Staff Engineer at Uber ML Platform and Google Brain. Architect of production ML systems serving billions of predictions daily. Expert in MLOps and distributed training at scale.
Marcus Osei
Ex-Meta AI and Palantir. Specialized in multimodal AI, computer vision, and real-time inference systems. Built CV systems for autonomous robotics and medical imaging applications.
Léa Voss
Former Head of DS at Zalando and Senior Scientist at Amazon Forecasting. Specialist in time-series, demand forecasting, and causal inference for business decision-making.
Transparent
engagement models
Best for teams wanting to explore and validate an AI idea before committing to a full build. Fixed scope, fixed price, fast delivery.
3-week POC sprint
- AI opportunity assessment & scoping
- Data readiness audit
- Working prototype on your real data
- Performance benchmarks & metrics report
- Go/no-go recommendation with rationale
- 1 dedicated ML engineer + tech lead
- Full production build
- Ongoing model monitoring
For businesses ready to build and ship a production AI system. A dedicated pod that works like an extension of your engineering team.
Minimum 3-month engagement
- Everything in Starter, plus:
- Dedicated 3-person pod (ML eng × 2 + data eng)
- Full production build with CI/CD pipelines
- Model monitoring & performance dashboards
- Weekly sprint demos & written reports
- Architecture design & documentation
- Team knowledge transfer sessions
- 24/7 managed operations
For large-scale AI transformations, multi-system deployments, and organizations needing embedded AI leadership and dedicated support teams.
Tailored to your scope
- Everything in Growth, plus:
- Dedicated team of 5–12 engineers
- Fractional Chief AI Officer access
- Multi-system, multi-team AI deployments
- 24/7 managed operations with SLA
- Quarterly business reviews
- Executive AI education workshops
- Priority access to new research & capabilities
All engagements include a 1-week no-cost discovery call. Prices above are starting figures; final scope and pricing confirmed after discovery.
Common
questions
What clients
say
Trayaksh.ai didn't just build models — they understood our business deeply enough to identify opportunities we hadn't even considered. The ROI was visible within 8 weeks of launch.
Their MLOps expertise alone saved us 6 months. We'd been trying to get our models to production for a year. Trayaksh.ai had us live in 6 weeks, with monitoring dashboards our team actually uses.
We hired them for 12 weeks and ended up extending for 18 months. They think like product engineers, not researchers — they care about whether AI actually helps users, not just benchmark scores.
Start a
conversation
Tell us about your project. We'll get back to you within 24 hours with an honest assessment of whether we're the right fit — and if not, we'll point you in the right direction.
Book a call
Schedule a 30-minute discovery call directly: calendly.com/trayaksh-ai
Office
Trayaksh.ai Consulting
100 Shoreditch High Street
London, E1 6JQ
United Kingdom
Response time
We respond to all inquiries within 24 hours on business days. For urgent requests, email with URGENT in the subject line.
Currently available
We have capacity for 2 new project engagements starting in Q3 2026. Enquire now to reserve your spot.
Ready to build
something real?
Book a 30-minute discovery call. No sales pitch — just an honest conversation about whether we're the right fit for your problem.