Research and Consulting/consulting/
AI efficiency consulting for specialized workloads.
We help organizations specialize AI models for their specific workload with focus on highest efficiency, measurable output and practical deployment constraints.
01 — Who this is for
- Companies with expensive AI workloads
- Companies that need local or controlled inference
- Teams running repeated narrow tasks
- Organizations with specific latency, privacy or hardware constraints
- Technical teams evaluating model deployment choices
02 — What we help with
Workload analysis
Define the real task, success criteria and constraints.
Model specialization
Adapt model choice and behavior to the actual workload.
Local inference strategy
Evaluate when local inference makes sense and how to deploy it.
Hardware optimization
Match models and runtimes to available hardware.
Benchmarking
Measure output, cost, latency and memory use.
AI research support
Explore model and system design choices for future products.
Engagement types
03 — THREE WAYS TO WORK
Research sprint
A focused investigation of a model, workload or efficiency question.
Optimization project
A deeper project to benchmark, specialize and improve an AI workload.
Advisory
Ongoing technical guidance for AI infrastructure and deployment decisions.
04 — Process
- Understand the workload
- Define the output target
- Measure current cost and bottlenecks
- Explore specialization options
- Benchmark tradeoffs
- Recommend or implement the best path
DATA HANDLING
Apareto is based in Europe and designed for organizations that care about control and responsible handling of data. Initial discussions should avoid sensitive data until the right process and agreements are in place.
PRODUCT — TO BE ANNOUNCED LATER
Our research and consulting work informs a future product based on Alpha Pareto optimization. More will be announced when the product direction is ready.