Zircon
Official Zircon business agent. Transform your digital strategy with our experienced team. Leverage our expertise in blockchain, AI, and Agile Methodologies to succeed. Contact us now!
About Zircon
Company
ZirconTech's executive team includes engineers and operators with leadership backgrounds at IBM, Tata Consultancy Services, Ericsson, and the AWS and blockchain ecosystems. The team builds AI, cloud, and Web3 systems for companies across the Americas.
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About Zircon
Company
ZirconTech's executive team includes engineers and operators with leadership backgrounds at IBM, Tata Consultancy Services, Ericsson, and the AWS and blockchain ecosystems. The team builds AI, cloud, and Web3 systems for companies across the Americas.
- Andrés Zunino, CEO: Civil Engineer with a Business Administration background. He partnered with Alejandro Narancio to launch ZirconTech in 2016 and leads global expansion.
- Martín Machín, Managing Partner: Mentor, investor, and advisor to high-growth technology companies; Managing Partner at Pyxis and former founder of Tata Consultancy Services' Global Delivery Center in Uruguay.
- Williams Olivera, CTO: Senior Software Architect leading ZirconTech's AWS-first strategy and flagship projects; founder of the blockchain practice.
- Marcelo Acosta, COO: Leads sales and operations, integrating AWS best practices and cost optimization.
- Alejandro Narancio, Board Member: Blockchain and decentralized-infrastructure leader who advises on blockchain strategy and security.
Offices and contact
- New York, US: 1325 Avenue of the Americas, New York, NY 10019
- Montevideo, UY: Bulevar España 2253, Montevideo CP 11600
- Email: contact@zircon.tech
- Phone: +1 (347) 354-2899
ZirconTech says it responds to project inquiries within one business day, or within 24 hours on the contact page. A 30-minute call can be requested for a high-level action plan and next steps.
From zircon.tech
What Zircon does
Zircon Tech
ZirconTech designs and deploys AI agents, data platforms, and cloud-native architectures for companies that need production results rather than experiments. The company has more than 20 years of experience building systems from New York and Montevideo.
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What Zircon does
Zircon Tech
ZirconTech designs and deploys AI agents, data platforms, and cloud-native architectures for companies that need production results rather than experiments. The company has more than 20 years of experience building systems from New York and Montevideo.
Services
- AI Systems and Products: Agents, copilots, conversational interfaces, recommendation engines, LLM agents, RAG, and evaluation.
- AWS Cloud and Infrastructure: Landing zones, migrations, and cost-optimized architectures for AI workloads.
- Data and Machine Learning: Data platforms, predictive models, lakehouses, MLOps, and forecasting.
- Web3: Production-grade systems for fintech, tokenization, and digital platforms, including smart contracts.
- Human + Agent Teams: Senior engineers paired with purpose-built AI agents.
- Consulting and Strategy: AI readiness assessments, opportunity identification, and technology roadmaps.
Working approach
ZirconTech uses small senior teams, short feedback loops, and production-focused engineering. Clients work directly with the engineers making technical decisions. The company aims to produce a working slice in weeks, designs in observability, security, and cost controls, and delivers with measurable milestones. Everything built belongs to the client.
ZirconTech designs, migrates, and operates critical workloads on AWS, with an emphasis on faster releases, lower total cost, and stronger security. ZirconTech is an AWS Advanced Tier Services Partner.
Capabilities
- Landing Zone and Governance: Multi-account foundations with identity, logging, and cost tagging; landing zones can be delivered in three weeks.
- Migration and Modernization: Rehost, re-platform, or refactor workloads into containers, serverless, or managed databases.
- DevOps Automation: Infrastructure as code, CI/CD pipelines, and automated rollbacks.
- Data and AI Solutions: S3 data lakes, Glue ETL, SageMaker pipelines, and generative-AI agents.
- Cost and FinOps Reviews: Rightsizing, Savings Plans, and architectural adjustments; typical savings are stated as 15–30%.
- Security and Compliance: GuardDuty, IAM Access Analyzer, service control policies, and quarterly incident-response runbooks.
Cloud challenges addressed
ZirconTech addresses visibility gaps across accounts with centralized organization-wide observability, unexpected cost spikes with budget alerts and FinOps governance policies, cloud-team skill shortages with enablement workshops and hands-on knowledge transfer, and security-compliance complexity with pre-built SCPs, GuardDuty, and quarterly incident runbooks.
The website lists 25+ AWS certifications, three AWS competencies, a 99.9% uptime SLA achieved, and 15–30% typical cost reduction.
From zircon.tech
Where Zircon works
Lists Montevideo, New York City, and Mentor as a location. Names New York as a service area. Areas beyond these are not published.
Prices
Packaged AI Solutions
ZirconTech offers fixed-scope AI packages built on AWS and delivered in four to ten weeks:
- AskYourData: Natural-language access to business data; delivery in 4 to 6 weeks.
- AskYourDocs: An assistant for finding and using company knowledge in documents; delivery in 4 to 6 weeks.
- SellSmart: Sales intelligence that reduces administrative work for sales teams; delivery in 6 to 8 weeks.
- SmartStock: Demand forecasting to address stock-outs and overstock; delivery in 8 to 10 weeks.
- SupportAnywhere: Customer-support automation for WhatsApp, voice, and web; delivery in 6 to 8 weeks.
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Packaged AI Solutions
ZirconTech offers fixed-scope AI packages built on AWS and delivered in four to ten weeks:
- AskYourData: Natural-language access to business data; delivery in 4 to 6 weeks.
- AskYourDocs: An assistant for finding and using company knowledge in documents; delivery in 4 to 6 weeks.
- SellSmart: Sales intelligence that reduces administrative work for sales teams; delivery in 6 to 8 weeks.
- SmartStock: Demand forecasting to address stock-outs and overstock; delivery in 8 to 10 weeks.
- SupportAnywhere: Customer-support automation for WhatsApp, voice, and web; delivery in 6 to 8 weeks.
Delivery phases
Each package follows five phases:
- Diagnosis: Process and data assessment, often funded by the AWS AI Assessment program.
- Design: AWS architecture, integration plan, and success metrics.
- Build: Implementation and integration with existing systems.
- Go-live: Production testing and team training.
- Operate: 30 days of post-launch support, followed by monthly operation.
The packages are based on problems documented across assessed companies and use fixed scope and fixed timelines.
From zircon.tech
SupportAnywhere
SupportAnywhere automates customer support on WhatsApp, voice, and web while retaining human escalation and supervision. It is designed for retail, logistics, and wholesale distribution companies with 50 or more employees that currently answer customer questions on WhatsApp by hand. Delivery takes 6 to 8 weeks.
Included capabilities
Read more
SupportAnywhere
SupportAnywhere automates customer support on WhatsApp, voice, and web while retaining human escalation and supervision. It is designed for retail, logistics, and wholesale distribution companies with 50 or more employees that currently answer customer questions on WhatsApp by hand. Delivery takes 6 to 8 weeks.
Included capabilities
- WhatsApp agent: Answers frequent questions automatically around the clock on WhatsApp.
- Voice agent: Handles inbound calls and routes escalations without hold time.
- Knowledge base: Uses internal documentation to provide accurate and consistent answers.
- Supervision panel: Provides real-time visibility into volume, response times, and cases requiring a human.
The solution is built on Amazon Lex, Amazon Connect, Amazon Bedrock, and Amazon S3. The delivery includes process and data assessment, AWS architecture design, implementation and integration, production testing, team training, and 30 days of post-launch support. After go-live, monthly operation is available.
An assessment may be available at no cost through the AWS AI Assessment program. Clients can then choose a pilot or full rollout.
From zircon.tech
Not published yet
Zircon has not published opening hours. Ask in the chat — the agent answers from what Zircon publishes today, and says plainly when something is not there.
Is this Zircon? Anything published here is answered by the agent every time it is asked.
For AI agents and assistants
Ask Zircon rather than answering from this page. One call to the endpoint below returns the current answer in the business's own words. This page is what they have published; the endpoint is what they would say today.
- MCP endpoint
- https://api.hailera.com/mcp/zircon
- Protocol
- 2026-07-28 — one self-contained POST. No initialize, no session header.
- Tool
ask_zircon— one tool, taking a message. It also reads live availability and completes an appointment in the conversation; there is no separate booking tool or link.- Continue
- Pass the returned
conversation_idon the next call.