Executive Overview

Agricultural technology has long suffered from a paradox: while satellite imagery, IoT soil sensors, and precision machinery generate vast oceans of high-tech data, the fundamental link in the chain—the human being standing in the field—remains tethered to analog habits. For decades, agronomists, field scouts, and farm managers have relied on pocket notebooks, messy group chats, and fragmented spreadsheets to log observations, pest counts, and chemical applications. Traditional Farm Management Software (FMS), laden with clunky desktop interfaces, dropdown menus, passwords, and mandatory app downloads, has historically shifted the administrative burden directly onto the shoulders of exhausted field operators, resulting in dismal adoption rates.

Enter Tellia, a San Francisco- and Paris-based voice AI agriculture startup that is rewriting the rules of agtech engagement. By building a voice-first artificial intelligence assistant that captures natural language through phone calls, voice notes, SMS, WhatsApp, and email, Tellia has engineered a seamless pipeline from dirt to digital.

In a powerful validation of this frictionless philosophy, Tellia has successfully closed a $5 million pre-seed funding round. The round was led by prominent venture capital firm Revent, with strategic participation from Grey Silo Ventures, Jeriko, and Fund F. This fresh capital injection will be deployed to accelerate transatlantic expansion across the United States and Europe, refine Tellia’s underlying agentic AI capabilities, and solidify its position as the foundational data layer for modern agriculture.

Operating across 400,000 hectares spanning North America and Europe—and boasting an impressive daily active usage (DAU) rate exceeding 80% among field teams within two months of onboarding—Tellia is proving that the future of agricultural software does not look like enterprise resource planning (ERP). Instead, it looks as simple as making a phone call or sending a voice note.

Detailed Chronology: From Concept to Transatlantic Traction

The genesis of Tellia lies in the firsthand frustrations experienced by its founders, who recognized that the digitization of agriculture had fundamentally failed the end user. While enterprise software developers designed applications for the pristine environment of the corporate office, the reality of farm management involves muddy boots, tractor cabs, glaring sunlight, and time-sensitive operational decisions.

Launch and Early Footprint (Autumn 2025)

Tellia officially launched its platform in California in the autumn of 2025, strategically targeting specialty crop growers and crop advisers who manage high-value, labor-intensive operations. California’s diverse agricultural landscape—characterized by complex fruit, nut, and vegetable crops—provided an ideal stress-test for the platform’s natural language processing capabilities.

Almost immediately, the startup expanded its geographical footprint to Europe, establishing a dual-headquarters model bridging San Francisco and Paris. This cross-continental approach allowed Tellia to capture early enterprise logos across distinct regulatory and operational environments. Within months of its initial commercial rollout, the startup secured mission-critical deployments with major agricultural players, including:

• Campos Brothers Farms (California)
• Duckhorn Vineyards (California)
• Institut Français de la Vigne et du Vin (IFV) (France)
• Val de Gascogne (France)
• KWS Saat (Germany/France/Italy)

The Pre-Seed Raise

Buoyed by rapid enterprise adoption and word-of-mouth growth among field teams, Tellia took its technology to the venture capital market. The resulting $5 million pre-seed round, spearheaded by Revent, represents a significant vote of confidence from investors who have witnessed a graveyard of well-funded agtech startups fail due to poor user engagement and intractable adoption friction. With this funding secured, Tellia is transitioning from an early-stage disruptor into a scaling enterprise poised to define the "agentic data age" in agriculture.

Supporting Context & Metrics: Solving the Data Entry Dilemma

To understand Tellia’s market disruption, one must examine the staggering inefficiencies plaguing traditional farm record-keeping. As CEO and co-founder Coline Labadie bluntly noted in interviews, Tellia’s primary competition is not rival software companies; it is the physical pocket notebook and the ubiquitous WhatsApp group chat.

The Anatomy of Field Friction

Most growers—including massive, industrial-scale agricultural enterprises—run little to no formal farm management software. When software is introduced, it frequently demands that field personnel adapt to rigid digital workflows. A typical legacy system requires a worker to:

1. Download a proprietary mobile application.
2. Authenticate credentials with a secure password while wearing gloves in cold or wet weather.
3. Navigate multi-layered drop-down menus.
4. Manually type out extensive crop observations on a mobile screen.

The structural flaw of this model is clear: the administrative value flows to the office, while the operational labor stays entirely with the worker in the field. Tellia inverts this dynamic entirely.

Omnichannel Flexibility

Tellia’s architecture recognizes that forcing a single input method is a recipe for low adoption. Instead, the platform meets users within their existing communication habits. Field operators can transmit data via:

• Standard phone calls (interactive voice response systems)
• Asynchronous voice notes
• SMS text messaging
• WhatsApp audio or text messages
• Email dispatches

Once received, Tellia’s proprietary AI engine parses the unstructured conversation, extracts key operational parameters, and automatically converts the dialogue into structured database records. These records are instantly tied to the correct spatial and operational taxonomy: specific fields, crops, plots, crews, and machinery interventions.

Hard Metrics and Adoption Rates

The metrics underpinning Tellia’s early success defy historical agtech benchmarks:

• 400,000 Hectares: The cumulative land area currently managed and monitored via the Tellia ecosystem across the US and Europe.
• >80% Daily Active Usage (DAU): The proportion of field team members actively engaging with the platform on a daily basis within just 60 days of onboarding.
• Multilingual Processing: Seamless parsing and automated translation of field data across multiple languages—including English, French, German, and Italian—allowing multinational seed and research organizations to unify disparate regional operations under a single standardized data layer.

Bridging Analog and Digital: The Handwritten Note Feature

Acknowledging that behavioral change cannot be forced overnight, Tellia has engineered features that respect legacy habits. For personnel deeply entrenched in pen-and-paper note-taking, the platform allows users to simply snap a photograph of their handwritten notebook pages and upload them. Tellia’s AI extracts, structures, and files the handwritten data automatically.

As Labadie emphasizes, the goal is not to police how workers record information, but to absorb the grunt work of data entry so that digitized systems finally reflect ground truth without imposing bureaucratic friction.

Official Statements & Industry Perspectives

The rapid ascent of Tellia has captured the attention of venture capitalists and agricultural executives alike, many of whom view the startup’s voice-first architecture as a necessary paradigm shift for the sector.

Coline Labadie, Co-Founder and CEO of Tellia:

"The competition is a notebook and a group chat. Most growers, including very large operations, still run no farm management software at all. Previous tools asked the field to adapt to the software. A form, a drop-down menu, a password, an app to download. The value went to the office and the work stayed with the person in the field… The field observation—what was seen on a plot, at what stage, and what to do about it—is the entry that was hardest to capture before because it happens standing in the crop."

Labadie is also careful to demarcate the boundaries of artificial intelligence in agricultural decision-making, ensuring that technology supports, rather than supplants, human expertise:

"Tellia does not diagnose. The agronomist does. What changes is the time between the observation and the action… The whole point of Tellia is to eliminate digitisation frictions by finding users wherever they prefer to be. You prefer to stick to your pen but still need to input your notes into systems? No problem, Tellia can do the grunt retyping work."

Otto Birnbaum, General Partner at Revent (Lead Investor):

"We believe that the voice-first approach will lead the agricultural sector into the new agentic data age and that Tellia will be the category-defining company here. Tellia is creating the critical data layer to meaningfully improve efficiencies and productivity in the agricultural sector."

Real-World Applications Across Sectors

Tellia’s versatility is demonstrated by its diverse deployment across specialty crops, broadacre agriculture, viticulture, and scientific seed research.

1. Cooperative Vegetable Production (Northern France)

A major frozen vegetable producer cooperative representing approximately 234 independent growers utilizes Tellia to streamline field technician visits. Rather than compiling lengthy evening reports back at the office, technicians dictate observations directly from the tractor side or crop row. Tellia processes the audio, automatically appending precise GPS coordinates, local meteorological data, and time stamps to generate standardized field visit reports.

2. Multinational Seed Trials (Germany, France, and Italy)

At a major German seed breeding and production enterprise, research station personnel and field trial crews operate across multiple linguistic jurisdictions. Technicians record pest observations, growth stages, and spray applications in their native tongues (German, French, Italian, or English). Tellia automatically translates and standardizes these inputs, routing them directly into the corporation’s centralized research database without manual re-keying.

3. Organic Viticulture (Southern France and California)

In the wine sector—historically known for balancing ancestral craftsmanship with strict regulatory compliance—organic wine producer groups and elite vineyards like Duckhorn use Tellia to automate vineyard inspections, manage mandatory spray registers, and log vinification data. A vineyard manager can record a WhatsApp voice note describing downy mildew pressure during a morning inspection walk; Tellia instantly formats this into an actionable observation report complete with weather metrics and photographic evidence, all without the manager ever opening an app or filling out a form.

4. Precision Pest Scouting & Trap Monitoring

Crop advisers monitoring insect trap counts across expansive multi-grower operations often collect vast amounts of quantitative data that traditionally languished in unread spreadsheets. By enabling scouts to speak trap counts aloud while standing in the field, Tellia aggregates the data overnight, cross-references it with local weather models, and flags anomalous pest spikes before economic thresholds are breached. This cuts the latency between field scouting and remedial crop protection down to hours rather than weeks.

Future Outlook: The Agentic Data Age in Agriculture

As Tellia deploys its $5 million pre-seed infusion across Europe and North America, the company stands at the vanguard of what industry leaders term the "agentic data age."

For decades, agricultural software has struggled with an intractable cultural barrier: the people doing the physical work on the land are rarely the people who benefit from, or enjoy interacting with, administrative databases. By abstracting away the user interface entirely—turning the human voice into a universal, frictionless API for farm management systems—Tellia has unlocked high-frequency, high-fidelity data capture that was previously deemed impossible to scale.

Looking ahead, the company’s roadmap centers on deepening its decision-support capabilities, expanding its multilingual natural language processing models, and embedding deeper predictive analytics into its data layer. If Tellia continues on its current trajectory, it will not merely be remembered as a clever voice-memo transcription tool, but as the foundational operating system that finally brought the global agricultural workforce into the digital age—one voice note at a time.