Antarka migrated from scattered Google Drive files to a unified operating system for contacts, projects, and tasks. Using Frontline, the biotech startup mapped the CRM directly to their scientific workflows, adopted Max as an everyday AI copilot, and automated their commercial and administrative pipelines.
About Antarka
Antarka is a pioneering biotechnology startup from Uruguay. By leveraging extremophile organisms from Antarctica, the company developed a breakthrough enzyme that repairs UV-induced DNA damage in skin. Sold as an active ingredient to cosmetic brands and laboratories, Antarka operates a pure B2B model serving global skincare leaders.
Backed by international venture capital and founded by four scientists, Antarka quickly transitioned from a research project to a high-growth enterprise. Soon, their operational complexity outgrew the basic tools holding it together.
The Challenge: Outgrowing Shared Context
In the early days, when the company consisted solely of its four founders, Google Drive and verbal alignment were enough. But as the team expanded, critical operational data became unstructured and siloed.
To scale, Antarka needed a single source of truth to track projects, manage prospects, centralize contacts, and run automated reporting—without the rigid constraints of traditional sales CRMs.
“We needed a system that could unify our data, generate real-time reports, and automate repetitive tasks without forcing us into a rigid box.”
While Google Drive could store documents, it couldn't connect workflows. Antarka needed structure, but conventional sales pipelines didn't fit their scientific reality.
A CRM Shaped Around Scientific Workflows
Antarka initially used Frontline to centralize contacts, companies, and leads. The real breakthrough, however, came when they began modeling their actual scientific and commercial operations inside the platform.
Because a standard sales pipeline cannot represent complex R&D projects, Antarka built two custom objects: a Project object (managed via Kanban) and a Task object.
By linking these objects, every project automatically maps to its underlying tasks, complete with clear ownership and priorities.
“As a deep-tech company, our workflow is highly unconventional. Frontline made it incredibly easy to model and customize the system to the exact level of detail our operation required.”
For companies with specialized operating models, CRM flexibility isn't a feature—it’s a prerequisite for adoption.
Turning Event Contacts into an Actionable Pipeline
Antarka integrated WhatsApp, email, and their core communication channels directly into Frontline. The ROI of this integration became clear after back-to-back international industry events in the US and Europe.
Instead of spending hours manually entering stacks of physical business cards, the team simply snapped photos of the cards and sent them to Max. Frontline’s AI assistant instantly parsed the text, enriched the records with company data, and classified the leads in the CRM.
What used to take days of tedious data entry was reduced to seconds, allowing the team to initiate personalized follow-ups while the event context was still fresh.
Max: The Autonomous Team Copilot
Today, Max acts as an intelligent assistant across the entire organization—drafting emails, summarizing complex threads, and retrieving specific data points from Frontline’s unified context.
More importantly, Max handles system configuration. Instead of acting as a passive help-center chatbot, Max actively builds and adjusts the CRM workspace based on natural language prompts. For a lean startup where team members wear multiple hats, this eliminates the overhead of software administration.
“It’s incredibly accessible for non-technical teams. You don’t need a developer or an implementation specialist—you just tell Max what you need, and it configures the system for you.”
Laying the Foundation for Automation
With their data structured, Antarka began layering in automated workflows. They deployed an intelligent website chatbot connected directly to Frontline to route inbound inquiries, alongside an automated administrative collections workflow.
These initial integrations represent the foundation of an automation layer the team continues to expand.
Key Takeaways for Scaling Teams
- Consolidation drives utility: A true source of truth does more than store data—it makes information actionable and reportable across the entire team.
- Flexibility dictates adoption: If your workflow is unconventional, your CRM must adapt to you, not the other way around.
- Zero-admin configuration: Startups shouldn't waste cycles maintaining software. AI-driven configuration keeps the focus on growth, not system maintenance.
- Structure first, automate second: Antarka successfully automated their workflows only after their core data was structured and connected.
What’s Next
Antarka is currently building custom commercial KPI dashboards within Frontline and gradually deploying advanced AI agents. Their core philosophy remains unchanged: build a clean, consolidated data foundation first, then automate on top of it.
