ABI/O Research builds AI-native pipelines for modern biology.
From hypothesis to validated insight—faster. We combine scalable input/output dataflows with interpretable models to accelerate discovery in life sciences.
Science-first, product-ready
Academic excellence with operational execution—so your research survives real-world constraints.
Transparent methods
Clear protocols, versioned datasets, and reproducible notebooks—ready for review.
Interpretable AI
We prioritize explainability and uncertainty where decisions have consequences.
Evidence synthesis
Integrate experimental results with literature and internal knowledge safely.
Core Services
ABI/O Research delivers senior scientific guidance and engineering execution across the full research pipeline. Every engagement is built for traceability, performance, and decision quality.
Technological Services
Scientific and Statistical Consulting
We provide high-level scientific and statistical consulting to support experimental design, data analysis, interpretation, and decision-making across biological, medical and pharmacological research programs. Our expertise spans biostatistics, computational biology, experimental optimization, and regulatory-grade analytics, helping clients extract actionable insights, reduce uncertainty, and accelerate research outcomes with rigor and transparency.
Specialized Software Development
We design and develop custom scientific software solutions tailored to complex research workflows, data processing pipelines, and analytical automation. Our team builds scalable, secure, and maintainable applications that integrate seamlessly with laboratory systems, cloud infrastructure, and high-performance computing environments, enabling efficient data management and reproducible science.
Large-Scale Data Processing and Algorithm Optimization
We specialize in large-scale data processing and algorithm optimization to ensure high-performance, scalable, and cost-efficient analytical workflows. Our expertise includes parallel computing, cloud and high-performance architectures, memory optimization, pipeline acceleration, and algorithmic profiling, enabling clients to process massive datasets reliably while minimizing computational cost and turnaround time. We optimize models and pipelines for speed, accuracy, reproducibility, and operational robustness across research, production, and regulated environments.
Customized Data Warehouses and Data Infrastructure
We architect and implement customized data warehouses and integrated data platforms to centralize, organize, and harmonize heterogeneous research datasets. Our solutions support structured and unstructured data, advanced querying, traceability, and analytics-ready pipelines, empowering organizations to transform fragmented data into reliable, decision-ready knowledge assets.
Scientific Services
Multi-Omics Analytical Support
We deliver advanced analytical support for multi-omics projects, including genomics, transcriptomics, proteomics, metabolomics, and integrative systems biology. Our workflows cover quality control, normalization, statistical modeling, network analysis, and biological interpretation, enabling robust discovery of biomarkers, pathways, and mechanistic insights across complex biological systems.
Molecular Modeling and Simulation
We provide state-of-the-art analytical support for molecular modeling projects, including molecular dynamics simulations and molecular docking studies. Our approaches leverage modern force fields, enhanced sampling techniques, and high-performance computing to characterize molecular interactions, binding mechanisms, conformational dynamics, and structure-function relationships critical for drug discovery and molecular design.
Small-Molecule Design and Proposal
We generate rational proposals for small molecules suitable for in vitro pharmacological assays using computational chemistry, structure-based design, and data-driven optimization strategies. Our process prioritizes biological relevance, synthetic feasibility, physicochemical properties, and target engagement to accelerate experimental validation and lead identification.
I/O-first architecture
We treat research as a pipeline: clean inputs, reliable transforms, high-signal outputs. The result is faster iteration with fewer surprises.
Input
Instrument, LIMS, public datasets, literature, internal reports—normalized and versioned.
Compute
Reproducible workflows: containers, HPC/cloud execution, tests, and automated QC.
Output
Decision-ready artifacts: dashboards, reports, APIs, and audit trails for review.
Team
A compact, senior group—built to ship research-grade results with professional standards.
Marcio Almeida, Ph.D.
Computational biology, reproducible pipelines, and translational research delivery.
Download CVPaulo S. Lopes-de-Oliveira, Ph.D
Model evaluation, deployment patterns, and production-grade data products.
Let’s build your next pipeline
Send a short description of your project and we’ll reply with a proposed approach, timeline, and deliverables.