InstaDeep

DeepChain gives life-sciences researchers access to BioAI models and tools for genomics, protein design, and laboratory workflows.

Automates PCB placement and routing to reduce manual design work, avoid violations, and help teams produce manufacturing-ready designs faster.

Helps logistics teams optimise cargo packing and streamline cargo-load handling.

AIchor helps teams orchestrate machine-learning workloads at scale, run experiments through a streamlined GitOps workflow, and collaborate on complex AI workloads.

Tailored AI solutions help enterprises unlock data insights, increase efficiency and speed, and move projects from pilot to firmwide implementation.

DeepChain

DeepChain is InstaDeep’s platform for life-sciences research and BioAI. It provides a unified platform for deploying BioAI solutions to BioNTech and external clients, including genomics foundation models, generative protein models, protein-design tools, and agents for laboratory workflows. DeepChain supports target identification, and its workflows can be accessed with a few lines of code. Users can customise models with parameter-efficient fine-tuning and collaborate with Laila, an AI assistant that accepts natural-language input.

• Deploy BioAI Models Through One Platform
  Access InstaDeep’s BioAI models through a unified platform intended for life-sciences research and external partnerships.
• Support Target Identification With Genomics Models
  Use genomics models available through DeepChain to support target identification in life-sciences research.
• Access Workflows With A Few Lines Of Code
  Start using platform workflows with a few lines of code, without a lengthy setup process.
• Automate Tasks Within Laboratory Workflows
  Deploy Laila into lab environments to automate routine and complex tasks, allowing scientists to focus on other aspects of their research.
• Screen Up To 10,000 Designs Per Day
  Use Folding Studio to screen up to 10,000 nanoparticle designs per day, supporting the evaluation of AI-driven protein designs.
• Customise Models With Parameter-Efficient Fine-Tuning
  Adapt models using parameter-efficient fine-tuning methods to customise them for research workflows.
• Collaborate With An AI Assistant Using Natural Language
  Use natural-language input to collaborate with Laila, DeepChain’s AI assistant.

DeepPCB

DeepPCB is an AI-powered, cloud-based PCB design and routing tool for individual designers and electronics companies. It automates and optimises board placement and routing, producing efficient, DRC-clean routings designed to comply with manufacturing constraints. The platform processes uploaded boards automatically and supports industrial-standard DSN files as well as KiCAD and Zuken formats. It uses distributed machine learning, reinforcement learning, GPUs and cloud infrastructure to help accelerate PCB design cycles. Published specifications describe support for boards with up to four layers and 500 airwires, with a dedicated support team available to discuss more complex requirements.

• Automate Board Placement And Routing
  Automates placement and routing tasks to reduce manual effort and streamline PCB design workflows.
• Process Uploaded Boards In The Cloud
  Moves board processing to an automated cloud platform, with an earlier product announcement reporting results in less than 24 hours.
• Produce Manufacturing-Compliant Routings
  Helps produce routings that comply with design rules and manufacturing constraints.
• Optimise Paths To Avoid Violations
  Optimises routing paths to avoid potential violations and support reliable PCB manufacturing.
• Accelerate PCB Design Cycles
  Automating key design tasks can shorten design cycles and help reduce product development time.
• Route Boards With Multiple Layers And Airwires
  Supports boards with up to four layers and 500 airwires according to published specifications, with support available to discuss more complex boards.
• Optimise Layouts With Distributed Machine Learning
  Uses distributed machine learning and reinforcement learning techniques for PCB placement and routing.
• Support Power And Ground Planes
  Supports planes used for distributing power and ground signals across the board.
• Work With DSN, KiCAD, And Zuken Files
  Accepts industrial-standard DSN files as well as KiCAD and Zuken formats.
• Download Finalised Manufacturing-Ready Designs
  Makes the finalised design available for download when it is ready for manufacturing.
• Try The Tool And Pay As You Go
  DeepPCB Pro users can explore the tool with a free trial and use a pay-as-you-go AI credits pricing option.

DeepPack

DeepPack is a tool for logistics professionals and supply-chain managers to optimise cargo packing and streamline the handling of cargo loads.

• Optimise Cargo Loads
  Supports logistics and supply-chain teams in optimising cargo packing and streamlining the way they handle cargo loads.

AIchor

AIchor is an orchestration platform for AI engineers and data scientists that distributes machine-learning workloads at scale. It provides a streamlined GitOps workflow for scientists and engineers to access compute infrastructure, including InstaDeep’s Kyber supercomputer. Used across research teams, AIchor facilitated an average of 15,000 experiments per month in 2025 and is available for external collaboration on complex AI workloads.

• Orchestrate Machine-Learning Workloads At Scale
  Distribute and orchestrate machine-learning workloads at scale to support complex AI work.
• Access Compute Through A Streamlined Workflow
  Use a streamlined GitOps workflow to access compute infrastructure for AI work.
• Run Experiments At Research-Team Scale
  Support high-volume experimentation, with AIchor facilitating an average of 15,000 experiments per month across InstaDeep’s research teams in 2025.
• Collaborate On Complex AI Workloads
  Use AIchor for external collaboration and scalable orchestration of complex AI workloads.

Custom AI solutions

InstaDeep develops AI solutions tailored to an organisation’s data structure and software architecture, with a process spanning project definition, piloting, implementation and support. Solutions address needs across logistics, mobility, manufacturing and energy, including decision automation, prediction, process optimisation and predictive maintenance.

Category: AI Development Services

• Align AI With Enterprise Systems
  Solutions are constructed to fit an organisation’s data structure and software architecture.
• Advance Projects From Pilot To Deployment
  A defined delivery process takes projects from definition and piloting through implementation and support, with the aim of accelerating firmwide implementation.
• Optimise Industrial Processes
  AI helps manufacturers leverage data across industrial processes, including supply chain, order and inventory management, maintenance and inspection.
• Improve Supply Chain Delivery Efficiency
  Decision-making AI helps logistics providers improve delivery efficiency across the supply chain.
• Predict Mobility Demand And Traffic
  Demand and traffic forecasts support mobility providers’ decisions about taxi and bus fleet requirements.
• Automate Mobility Decisions
  Decision automation helps mobility providers make computer-aided decisions about fleet size and deployment.
• Predict And Avoid Machine Failure
  Using industrial IoT data, the solutions help manufacturers anticipate and avoid machine failures.
• Minimise Manufacturing Downtime
  The solutions help manufacturers minimise downtime as part of optimising industrial processes and using IoT data.
• Automate Energy Workflows
  Automated workflows help energy enterprises pursue effective capital expenditure and greater return on investment.
• Improve Energy Operations
  Prediction and recommendation systems support operational efficiency and well-health evaluation in oil and gas, power generation and transmission.
• Anticipate Energy Asset Maintenance
  Predictive maintenance is applied across upstream and midstream oil and gas, power generation and transmission.
• Set Appropriate Fleet Sizes
  The solutions support fleet-size decisions in response to predicted demand and traffic.
• Deploy Fleets To Reduce Passenger Delays
  Computer-aided deployment decisions are intended to reduce passenger delays.
• Increase Ride-Sharing Efficiency
  The solutions support more efficient ride-sharing through computer-aided mobility decisions.
• Improve System Reliability
  Manufacturers can apply AI to IoT data to improve the reliability of their systems.
• Automate Visual Inspections
  Automating visual inspection supports manufacturers’ inspection processes.
• Forecast Production Interactions
  Forecasting interactions between production units and automated requests helps support smooth robotic operation alongside staff.
• Maintain Competitive Margins And Pricing
  The solutions support logistics providers in maintaining margins and pricing as customer needs evolve.