From theoretical modelling to production: algorithmic engineering and custom AI.

We offer companies and research consortia multidisciplinary, computation-intensive expertise. Three vertical areas designed to turn scientific complexity into scalable enterprise software solutions.

◉ TECHNOLOGY TRANSFER♜ TRL 4-8 PROTOCOLS▣ PROPRIETARY ARCHITECTURES
01 / INDUSTRIAL RESEARCH & DEVELOPMENT

Complex research projects, biotechnology and advanced analysis

We support research institutions, laboratories and industrial companies in developing highly innovative projects. We combine mathematical modelling, computational simulation and rigorous experimentation to validate operational prototypes in critical contexts such as bioinformatics and advanced mechanical diagnostics.

High-speed imaging

Real-time processing of high-frame-rate visual streams and volumetric reconstruction.

Bioinformatics

Predictive algorithms for biomolecular analysis, genomic screening and cell modelling.

Mechanical innovation

Numerical modelling and predictive simulation for sensors and high-stress components.

Complex network analysis

Topological study of biological graphs, dynamic flows and multifactorial interactions.

IMAGE / LABORATORY
♟ COMPUTATIONAL LABORATORY & BIOTECHNOLOGY SIMULATIONSTRL 4 → TRL 7
IMAGE / NETWORKS & ALGORITHMS
▦ DENSE GRAPH TOPOLOGY AND VECTOR OPTIMISATIONComplexity: O(V+E)
02 / ALGORITHMIC ENGINEERING

Design and optimisation for computationally hard problems

We tackle challenges where standard algorithms fail in terms of scalability and latency. We design dedicated data structures and targeted heuristic formulations to drastically reduce computation times on massive vector databases and complex network topologies.

Graph algorithms

Optimal path computation, connectivity analysis and decomposition of heterogeneous, ultra-dense graphs.

Bidirectional search

A* heuristic systems and bidirectional BFS to reduce the search space and speed up pathfinding.

Computational optimisation

Exact and heuristic solvers for NP-hard problems, industrial scheduling and memory footprint minimisation.

Distributed systems

Low-latency parallel computing protocols, workload partitioning and consensus on multi-node clusters.

03 / APPLIED ARTIFICIAL INTELLIGENCE

Machine learning and computer vision systems for operational contexts

We don't plug in generic APIs: we train and validate proprietary machine learning pipelines. From computer-vision-based industrial quality control to enterprise predictive modelling, we bring highly reliable AI inference to the cloud and to edge computing.

Supervised machine learning

Regression and classification models trained on specific industrial datasets and formally validated.

Recommendation systems

Vector ranking engines and semantic indexing with very high precision and throughput.

Predictive analytics

Time-series forecasting, streaming anomaly detection and predictive plant maintenance.

Computer Vision

Object recognition, semantic segmentation and real-time optical quality control for production lines.

IMAGE / AI & COMPUTER VISION
♟ TENSOR INFERENCE & COMPUTER VISION PIPELINEAccuracy: 99.8%

METHOD & OPERATIONAL PHASES

A rigorous engineering path, from feasibility to production

Every collaboration runs through firm milestones, metric verification of results and full transfer of intellectual property.

PHASE 1

Feasibility Analysis & Preliminary Research

Assessment of the theoretical problem, mathematical formalisation and computational feasibility benchmarks.

● Algorithmic complexity estimate
PHASE 2

Prototyping & Algorithmic Modelling

Development of the prototype (PoC) in a controlled environment, validation of latency and convergence constraints.

● Verified proof of concept
PHASE 3

Integration & Industrial Benchmark

Enterprise-grade code, continuous testing pipelines and integration into the client's infrastructure.

● Latency & throughput metrics
PHASE 4

Delivery, Sovereignty & Ongoing Support

Full release of source code, TRL documentation and post-deployment performance monitoring.

● Full ownership of the code (IP)
R&D BENCHMARK METRIC

Engineering standards aligned with Horizon Europe & PNRR horizons

Our research protocols ensure methodological traceability, reproducibility of numerical experiments and eligibility for R&D tax credits and European grants.

100%IP TO THE CLIENT
TRL 8OPERATIONAL TARGET
< 5msINFERENCE LATENCY

Do you want to assess the feasibility of your computational project?

Find out how we applied this expertise in our field projects, or talk directly with our research team in Pescara.

SEDE OPERATIVA: VIA TIRINO 227, 65100 PESCARA [PE]