Technology

The Ruolus Engine

A language model fine-tuned for one job: understanding how a company works and designing the AI system that fits it best.

The pipeline

How the engine turns company data into an AI blueprint.

Every analysis runs through four stages. Each stage produces structured output that feeds the next.

1

Ingest

Secure connectors read documents, databases, tickets and process descriptions. Sensitive fields are masked at the source.

2

Understand

The fine-tuned model builds a map of your processes, data flows, volumes and the decisions people make every day.

3

Design

It matches your needs to proven AI architectures and simulates cost, latency and accuracy for each option.

4

Optimize

After deployment, live metrics flow back into the engine, which recommends tuning, retraining or a cheaper model.

Fine-tuned, not generic

Built to make AI decisions, not to chat.

General-purpose chatbots can describe AI. Ruolus is trained to decide. Our model is fine-tuned on a curated body of AI architecture patterns, industry workflows and real-world performance and cost benchmarks of models and infrastructure.

The result is an advisor that asks the right questions, understands trade-offs and gives you recommendations you can defend in front of your CTO and your CFO.

  • Domain-specific supervised fine-tuning
  • Retrieval over an up-to-date knowledge base of models and tools
  • Structured, explainable outputs, with every recommendation backed by reasoning

Model card

BaseFoundation LLM
TrainingSFT + preference tuning
KnowledgeRAG · architecture & benchmarks
OutputReports · blueprints · roadmaps
Feedback loopLive system metrics
Capabilities

What the engine can do.

Process mapping

Turns scattered documents and interviews into a clear map of workflows and decision points.

Data readiness scoring

Measures the quality, volume and accessibility of your data for each candidate use case.

Model selection

Compares open-source and commercial models, from classic ML to LLMs, for your exact task.

Architecture blueprinting

Produces a full system design covering data layer, models, APIs, infrastructure and integrations.

Cost & latency simulation

Forecasts monthly spend and response times before you write a single line of code.

Continuous optimization

Watches live performance and suggests retraining, prompt changes or model swaps as you grow.

Sample output

What the engine delivers.

A simplified excerpt of a Ruolus report for a fictional mid-sized logistics company.

Ruolus Analysis Report Sample · Fictional logistics company · 4 departments analyzed
Top use cases · impact × feasibility
Invoice & waybill automation92
Delivery time (ETA) prediction81
Route optimization74
Customer support assistant58
Recommended system
Document AIOCR + fine-tuned small LLM
ForecastingGradient boosting on order & GPS data
DeploymentPrivate cloud
Data readiness68 / 100
First use case live~10 weeks
Next step: Start with invoice automation for the fastest return, then reuse its data pipeline for ETA prediction. A general-purpose chatbot is not recommended yet, because support volume is driven by delivery delays.
How we measure

Every system is judged on four things.

Ruolus balances these metrics for each recommendation and keeps tracking them after launch.

Accuracy

Measured on your own tasks and data with a custom test set, not on generic benchmarks.

Latency

Response times that match how the system is used, from real-time chat to overnight batch jobs.

Cost

Total cost per request and per month, including models, infrastructure and maintenance.

Safety & reliability

Guardrails, fallbacks and human review where mistakes would be costly.

Technologies we work with

Model-agnostic and cloud-agnostic. We use what fits your problem best.

PyTorchHugging Facescikit-learnXGBoostvLLM ONNXMLflowApache AirflowDockerKubernetes AWSMicrosoft AzureGoogle CloudPostgreSQL & pgvectorSnowflake
Security & deployment

Your data stays yours.

Ruolus is designed for companies that take privacy seriously.

Data handling Encrypted in transit and at rest. Your data is never used to train models for other customers.
Deployment options Ruolus cloud, your private cloud, or fully on-premise for regulated industries.
Integrations Databases, data warehouses, CRM and ERP systems, document stores, ticketing tools and REST APIs.
Model-agnostic We recommend what fits best, whether open-source, commercial API or custom-trained, with no vendor lock-in.
Compliance Built with GDPR and KVKK requirements in mind, with role-based access and full audit logs.

Want to see the engine in action?

Book a walkthrough and we'll run a sample analysis on a real scenario from your industry.

Book a demo →