Enterprise AI Engineering · Google ADK & Gemini 2.5 · From Concept to Production
into Production Agents
DAN&ELATON is an enterprise AI engineering firm. We design and build production-grade AI agents, data automation systems, and ETL infrastructure — from concept to live deployment in under 90 days.
Trusted by industry leaders
DAN&ELATON is an enterprise AI engineering firm. We design, build, and deploy production-grade AI agents, data automation systems, and ETL infrastructure for organizations that demand measurable results. We don't just consult — we architect, ship, and own every line of what we deliver.
Our most ambitious delivery to date is HELIOS — an original multi-agent architecture we designed and built on Google ADK and Vertex AI for an enterprise client. From natural language data validation in under 5 seconds to self-improving automation loops, it's proof of what our engineering team is capable of building.
Explore HELIOSHELIOS is a production multi-agent system we designed and built from the ground up for an enterprise client — architected on Google ADK and Gemini 2.5 Flash. It features an original triadic agent design, a Continuous Learning Loop with persistent memory, and Dynamic Skill Creation where agents author their own tools in real time. It's our signature engineering delivery, and a direct demonstration of what DAN&ELATON builds.
HELIOS is not a chatbot wrapper. It is a production-grade multi-agent system we delivered for a Fortune 500 enterprise environment — with 100% uptime since launch, sub-5-second response times, and a 94.3% automated evaluation pass rate across 61 test cases.
The system runs natively on GCP Agent Engine, scales from 1 to N instances on demand, and operates continuously without human intervention — handling enterprise API orchestration, workflow automation, code review, and scheduled operations simultaneously. We built it. We delivered it. It works.
The Orchestrator
Analyzes every request through a ReAct loop. Parses persistent memory, decomposes complex tasks into atomic operations, and delegates to the right agent. AEMON never executes — it thinks.
"Analyze, decompose, delegate, synthesize."
The Validator
Reviews code, detects architectural risks, and enforces SOLID principles and clean code standards. Every output passes through EAMON before reaching production.
"Verify every fact. Trust no assumption. Validate everything."
The Executor
Connects to enterprise APIs, measures latency, creates dynamic Python skills via skill_creator, and saves operational insights to the memory loop. DAEMON delivers the result.
"Format, deliver, log, remember, repeat."
From AI agent development to enterprise ETL — we engineer and deliver production systems that generate measurable ROI.
We architect and ship production AI agents using HELIOS + Google ADK + Gemini 2.5 Flash. Natural language interfaces, multi-API orchestration, sub-5-second response times, and 94%+ evaluation pass rates — live on Cloud Run at $65–95/month operational cost.
From Slack-native bots to full multi-agent orchestration loops, our automation agents eliminate complex enterprise workflows end-to-end — delivering efficiency gains from 10x to 1,000x and saving engineering teams 39+ days per quarter.
We design and operate enterprise ETL pipelines at scale — Talend, DataStage, Python asyncio with parallel execution. Multi-source integration, full audit logging, automatic retry logic, and zero-downtime deployments built for Fortune 500 compliance requirements.
Our analytics agents transform raw enterprise data into executive-ready intelligence — real-time dashboards, automated reporting pipelines, and visualization layers that connect directly to your data sources via Tableau and Power BI.
We architect and manage GCP-native operations: Cloud Run, Vertex AI Agent Engine, Secret Manager, BigQuery, Cloud Functions. Auto-scaling, serverless, security-first — enterprise workloads consistently at $65–95/month operational cost.
From zero-setup standalone desktop applications (.exe/macOS, no installation required) to REST APIs serving enterprise teams globally — end-to-end delivery: architecture, development, deployment, and ongoing operation.
"The next generation of enterprise AI is not being built in Silicon Valley. It is being built by engineers who understand real business problems — and who dare to think bigger."
— DAN&ELATON
A selection of production systems DAN&ELATON has designed and delivered for enterprise organizations — results verified, client identities protected.
Enterprise Automation
HELIOS · Original Multi-Agent Design · DAN&ELATON Signature
The Challenge
Enterprise engineering teams needed an intelligent automation layer to orchestrate ETL pipelines, code review, Jira, GitHub, and Slack — autonomously, without fragile UI dependencies or specialist intervention for every workflow step.
What We Built
Fortune 500 Retail Operations
Google ADK · Gemini 2.5 Flash · Vertex AI
The Challenge
~500 weekly data validation requests, each requiring 20–42 minutes of specialist time across 10 complex API systems. A small team was overwhelmed and delivery cycles were consistently bottlenecked.
What We Built
Enterprise Retail Operations
Python · FLET · Parallel API Execution
The Challenge
Engineers manually navigated multiple APIs, interpreted complex JSON responses, and compiled reports step-by-step — a slow, error-prone workflow with no standardized tooling for non-technical users.
What We Built
Global Technology & International Commerce
Talend · DataStage · Python · Multi-Region
The Challenge
Multi-region enterprise operations required consistent, reliable data pipelines across disparate systems — high-volume extraction, complex transformation logic, and strict data quality across concurrent international projects.
What We Built
Battle-tested enterprise tools powering every HELIOS deployment — from data pipelines to autonomous agent fleets.
Tell us your challenge. We design the architecture and deliver a free initial roadmap within 24 hours — no commitment required.
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