AI engineering services
for the agentic era

We help companies build intelligent products powered by LLMs, agentic AI systems, and modern data engineering — from strategy to production.

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consult

Consult

AI strategy and technology advisory to identify where LLMs and agentic systems create the most value — and define a roadmap to get there.

Engineer

Engineer

End-to-end engineering of agentic AI systems, LLM-powered applications, data pipelines, and cloud-native platforms — built to scale.

optimaze

Optimize

Turning raw data into intelligence — building data engineering foundations, RAG pipelines, and evaluation frameworks that keep AI systems reliable in production.

train

Train

AI training programs for teams at every level — from executive AI literacy and prompt engineering to hands-on LLM integration and agentic system development.

Case Studies

EZ Assets

A platform for real estate investors, beginners and professionals, to quickly find cash-flowing investment properties.
  • Work with domain experts
  • Product-market fit
  • Competitive landscape analysis
  • Rapid MVP development
  • Customer development
  • Content and marketing strategy
  • Investor Relationships
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Leanda.io

Leanda.io is an extensible open science data repository. Leanda.io allows users to consume, process, visualize and analyze different data types, formats and data volumes.
  • 2.2M lines of code
  • 27 microservices
  • 6 specialized data stores depending on microservice purpose
  • End-to-end and integration tests
  • Integration with machine learning tools
  • Dockerized or AWS CloudFormation deployment
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Data Collection System

Modernized a 15+ year old monolith application to convert to cloud-native, microservice based architecture — leveraging AI-assisted code analysis and migration.
  • 1.1M lines of code
  • AI-assisted codebase analysis and modernization
  • Fully document RESTful API using best practices
  • Help the client to implement efficient development processes
  • Integration testing
  • Production support

Capabilities

capabilities

AI Engineering

  • Agentic AI systems, multi-agent orchestration, and long-running autonomous agents
  • LLM integration, prompt engineering, context engineering, and RAG pipelines
  • Agent evaluation, testing harnesses, and regression frameworks
  • Computer use and GUI automation for legacy systems
  • Data engineering and real-time data pipelines
  • Microservice based and cloud-native architecture
  • Vector and general-purpose data storage systems
  • Production AI system monitoring and observability

AI Training

AI Training
  • Executive AI literacy and strategy workshops
  • Prompt engineering, context engineering, and LLM integration for developers
  • Hands-on agentic AI system development courses
  • Agent evaluation, testing, and production reliability
  • Data engineering and RAG pipeline training
  • Tailored programs for technical and non-technical audiences
  • Trained teams measurably outperform — experienced AI users achieve higher success rates and tackle higher-value work

Tools and Technologies

  • LLMs: OpenAI, Anthropic Claude, Llama, Mistral
  • Agentic frameworks: LangGraph, CrewAI, Claude Agent SDK, MCP
  • RAG and vector search: Pinecone, pgvector, Weaviate, Chroma
  • Data engineering: Apache Spark, Airflow, dbt, Kafka
  • ML/DS: PyTorch, Hugging Face, scikit-learn, Pandas
  • Languages: Python, TypeScript, JavaScript
  • Frontend: React, Vue.js, Angular
  • Databases: PostgreSQL, MongoDB, Redis, Elasticsearch
  • Cloud and infra: AWS, GCP, Docker, Kubernetes
Tools and Technologies

Testimonials

Bongjun

ArqiSoft team helped us to migrate our legacy app to modern architecture. We were really happy with the way their team performed and communicated. We would definitely contract them again for the future projects!.

Nabil

We had a multi-year contract with ArqiSoft and were satisfied with how easy it was to work with their team. Definitely looking forward to working with this company in the future.”

Alexander

We collaborated with ArqiSoft on a product-market fit for a large scale data repository. Working with these guys was always easy.

Clients and collaborators