Solutions

Technology expertise from assessment to execution

Fusion helps investors and enterprise organizations navigate complex technology decisions and deliver the systems behind their business goals. Our work combines strategic assessment with practical engineering across AI, data, applications, and infrastructure.

Technology Advisory & Consulting

Make informed technology decisions with an experienced, engineering-led perspective. We help investors and enterprise leaders assess technical capability, identify risk, and understand the practical implications of their choices.

For investors

Venture and growth investors, private equity, family offices and corporate venture teams.

  • Technology due diligence for investments, acquisitions, and strategic transactions
  • Startup and product technology assessments
  • Architecture, engineering, and technical-team reviews
  • AI product claims and technical differentiation assessments
  • Cost-to-scale and infrastructure economics
  • Portfolio technology health checks
  • Technology input for investment theses and strategic planning

For enterprise leaders

Founders, CEOs, CTOs and boards.

  • Technology strategy and operating model reviews
  • Product and technology roadmap development
  • Go-to-market and technical feasibility assessments
  • Outside-in architecture and engineering reviews
  • Board and leadership technology briefings
  • Modernization planning and prioritization

Our approach

  1. Listen

    Understand the business context, objectives, and decision to be made.

  2. Assess

    Review technology, architecture, product, team, delivery, and risk.

  3. Advise

    Present findings, options, trade-offs, and practical recommendations.

  4. Support

    Help teams execute the roadmap, where required.

Typical deliverables

  • Written assessment of findings and key risks
  • Clear recommendations and prioritized actions
  • Options to proceed, remediate, pivot, or reconsider
  • Technology roadmap and implementation considerations
  • Leadership or investment-team readout

We provide clear assessments and recommendations, with delivery support available when it is useful to the client.

Architecture & Engineering

We help translate technology strategy into systems that can be built, integrated, deployed, and operated. Our engineers work with client teams to address architectural complexity and deliver practical outcomes.

Our work may include

  • Solution and platform architecture
  • Application and data engineering
  • System integration and API development
  • Proofs of concept and technical validation
  • Modernization and migration
  • Performance, reliability, and scalability improvements
  • Engineering delivery support

AI Inference Technologies

Production AI requires more than a capable model. It needs an inference environment designed around latency, throughput, cost, reliability, and workload requirements. Fusion helps design, implement, and optimize AI inference systems across cloud, on-premises, and hybrid environments.

Capabilities

  • Model serving and inference architecture
  • GPU and CPU workload evaluation
  • Model quantization and optimization
  • Batching, caching, and throughput tuning
  • Inference gateways and autoscaling
  • Retrieval-augmented generation (RAG) integration
  • Vector search and retrieval architecture
  • Monitoring for latency, token usage, quality, and operational behavior
  • Deployment patterns for cloud, on-premises, and edge environments

Technology examples

vLLM, NVIDIA Triton, TensorRT-LLM, ONNX Runtime, Kubernetes, NVIDIA GPUs, AMD accelerators

AI Data Science Technologies

We help organizations turn data and machine learning experimentation into dependable capabilities that can be used in real business workflows.

Capabilities

  • Data preparation and feature engineering
  • Data science and machine learning pipelines
  • Predictive modeling and analytics
  • Foundation model adaptation and fine-tuning, where appropriate
  • MLOps and model lifecycle management
  • Experiment tracking and reproducibility
  • Deployment of models into business applications
  • Model monitoring and performance evaluation
  • Assessment of reliability, bias, and operational risk

Technology examples

Python, PyTorch, scikit-learn, MLflow, Apache Spark, Airflow, cloud machine learning platforms

Enterprise Data & Applications

Modernize the data and application landscape that supports your business. We help organizations improve how systems connect, how data is managed, and how applications support business operations.

Capabilities

  • Data platform and lakehouse architecture
  • ETL and ELT pipeline development
  • Data integration and engineering
  • Business intelligence and analytics
  • Enterprise application development
  • ERP and CRM integration
  • API and service development
  • Legacy application modernization
  • Web application development and enhancement

AI Infrastructure

AI and enterprise workloads depend on infrastructure that is appropriately designed, deployed, and managed. We help assess and implement infrastructure strategies aligned with performance, scalability, security, and operational requirements.

Capabilities

  • Cloud, colocation, on-premises, and hybrid architecture
  • Virtualization and container platforms
  • Compute, storage, and network design
  • Database deployment, replication, and backup architecture
  • API and platform security considerations
  • Infrastructure automation
  • Resilience and disaster recovery planning
  • Infrastructure performance and capacity assessment

GPUs & AI Accelerators

Accelerated computing can improve AI performance, but the right solution depends on workload characteristics, capacity, software compatibility, and operating costs. Fusion helps organizations evaluate and implement GPU environments with those factors in mind.

Capabilities

  • GPU and accelerator workload assessment
  • Capacity and configuration planning
  • GPU compute, networking, power, and cooling considerations
  • Driver, CUDA, and ROCm environment configuration
  • GPU workload scheduling with Slurm or Kubernetes
  • GPU utilization and performance optimization
  • Infrastructure monitoring and operational planning
  • Support planning for maintenance and lifecycle management

Flexible engagement models

Start with advice, hand us a whole project, or bring us in to run what you already have. You choose how much of the work we take on.

Advisory Engagements

Focused assessments, due diligence, strategy, and technology recommendations.

Project Delivery

Defined engineering initiatives with agreed scope, milestones, and outcomes.

Managed Operations & Support

Ongoing operational support and optimization for agreed technology environments.

Team Extension

Experienced specialists working alongside your existing teams.

Training & Knowledge Transfer

Practical enablement to help teams adopt, operate, and maintain technology solutions.

Have a technology initiative or decision to discuss?

Let's start with the problem you're trying to solve.

Talk to an Engineer