01
AI Agent Development
Custom agents that use tools, retrieve information, and carry out defined tasks—with evaluation and human review where they matter.
Independent software engineering
Advanced AI,
software &
data systems.
Graph Net Labs designs and develops AI agents, data infrastructure, backend systems, and scientific computing solutions for businesses and research organizations.
Connected by designGraph Net Labs
01 / INTEGRATE02 / PROCESS03 / DELIVER
Engineering acrossArtificial intelligenceData infrastructureSoftware systemsScientific computing
What we build
From complex data
to useful software.
Focused engineering across the systems that collect, connect, and make use of your data. Each engagement starts with the problem you need to solve.
02
AI & Workflow Orchestration
Connect language models, APIs, databases, and internal tools to automate research, document processing, reporting, and operations.
03
Data Engineering
Ingestion, ETL/ELT, normalization, and distributed pipelines that turn fragmented sources into consistent, usable data.
04
Backend Systems
Python services, APIs, asynchronous workloads, and integrations designed around clear interfaces and maintainable architecture.
05
Search & Knowledge Systems
Elasticsearch/OpenSearch, semantic search, retrieval-augmented generation, and knowledge graphs for finding and using information.
06
Scientific & Bioinformatics Computing
Genomic and single-cell data processing, reproducible computational pipelines, and analytical tools for research workflows.
Supporting capabilities
Machine learning & model evaluation · Observability & infrastructure · Architecture reviews · Performance optimization
About Graph Net Labs
Independent engineering.
Connected thinking.
Graph Net Labs LLC is a software engineering company focused on complex data systems and automation. We bring AI, backend development, data engineering, and scientific computing together within one coherent technical approach.
Work can range from a focused prototype or integration to a computational pipeline or backend system. The aim is practical software with clear interfaces, reproducible workflows, and a sound basis for continued development.
01
Understand the problem
Define the workflow, data, constraints, and intended outcomes.
02
Design & implement
Build the components and integrations the work requires.
03
Evaluate & refine
Check behavior, document decisions, and improve the system.
Start a conversation
Have a system
in mind?
Tell us what you’re building, where the complexity is, and what you need the software to do.