Multi-agent systems wired into your tools and data, with explicit state and routing, and human checkpoints where they matter.
Failure analysis, eval suites that run in CI, guardrails and audit trails, so you find out an agent is wrong before your users do.
Lakehouse, streaming and retrieval pipelines that agents can rely on, with data contracts, lineage and access controls.
Legacy monoliths moved to cloud-native services, with the tests and deployment pipeline to keep them moving.
We publish what we can. The code is the easiest way to see how we work.
An open science data platform: ingest, process and model data across 10+ scientific formats, with ML training and prediction pipelines. Built with NIH subject-matter experts and still actively developed.
View on GitHub →One nine-agent software team that runs on LangGraph, CrewAI or the Claude Agent SDK behind one interface, so every failure can be traced to the model, the framework or the harness. Failure taxonomy, an eval gate in CI, per-role cost tracking, about 1,900 tests.
View on GitHub →A test suite that runs all 99 TPC-DS queries against four Snowflake table formats: native, Iceberg with the Snowflake catalog, Iceberg with AWS Glue, and external Parquet tables. It measures time, data scanned, cache hits and cost per query, with Terraform for the infrastructure.
View on GitHub →A free, hands-on Python course that explains why, not just what: notebook lessons, how Python works inside, algorithm patterns, timed challenges and small projects, with an optional AI tutor mode.
View on GitHub →ArqiSoft is a software engineering company in Rockville, MD, founded in 2018. We started with data platforms for federal agencies and research organizations, and today most of our work is AI agent systems and the data they depend on. Clients have included RTI International, Vertivis, Technopeak and Arome Science.
We run the system and read the traces before proposing anything. Most fixes come from knowing exactly where it breaks.
Every change ships with the check that would have caught the problem: an eval, a test, a gate in CI.
Federal and research work taught us to log every action, keep permissions tight and make decisions traceable.
What we build lives in your repositories and your accounts, documented so your team can own it after we leave.
Book a 30-minute intro call, or send us a short note. We reply within one business day.