Café Spice Transforms Production and Profitability with a RaaS Solution

Café Spice, a manufacturer of premium ready-to-eat meals, has built its reputation on authentic flavors, strict quality control, and presentation standards that match its culinary ambitions. But by 2023, its production model—especially at the company’s New Windsor, N.Y., facility—was straining to meet demand.

The operation relied on 200–400-lb batches cooked in non-agitating kettles, food stirred by hand, and workers manually portioning meals into two-compartment trays. This process limited throughput to around 10–15 trays per minute per line while creating ergonomic challenges for employees from repetitive scooping. The company wanted to expand production but ran into other limitations.

Some of the SKUs produced by Café Spice.Café Spice“Even before COVID, labor was a big challenge, and post-COVID it became even harder to source and retain talent,” explains Virgilio Felix, Chief Operating Officer at Café Spice.

Additionally, the company was losing money because workers would over-portion meals to avoid filling an underweighted tray that would get rejected. “One ounce over per 16-oz meal doesn’t sound like much—until you calculate it annually. That’s hundreds of thousands of dollars literally given away,” says Felix.

A facility designed for automation

When Café Spice opened its newer facility in Beacon, N.Y., it came with design choices that would enable a leap forward in production capabilities: 20-ft ceilings, spiral chillers for continuous-flow cooling, and large kettles with integrated agitation. The company saw an opportunity to go beyond typical end-of-line automation and target portioning and pre-packing—one of the most labor-intensive and quality-sensitive points in the process.

Manually portioning meals into two-compartment trays limited throughput to around 10–15 trays per minute per line.Cafe Spice / Chef RoboticsBefore automation, workers at Café Spice portioned food by hand into trays moving slowly down the line, pausing to weigh deposits to ensure accuracy. While effective for consistency, this method kept throughput low and created bottlenecks. Placement precision was critical: The company’s signature two-compartment tray separates rice from curry to maintain freshness and shelf life. Overfilling could cause curry to spill into the rice compartment, requiring rework and adding labor touches.

To start, Café Spice added a conveying system into its process. This initial step allowed the integration of Chef Robotics’ machines into the line, which changed both the speed and quality of production.

The key, though, was that the automated system had to match the dexterity of a skilled worker, handle a wide range of ingredients, meet hygiene standards, and allow for rapid changeovers in a high-mix environment. Chef Robotics’ technology met those requirements, developed after years of working with clients like Café Spice to ensure a fit.

For example, each Chef robot occupies roughly the same space as a human worker and fits directly into the line without costly retrofits. Robots meet ISO 10218 standards for safe operation alongside human workers, enabling blended work cells where humans perform tasks like tray nesting, wiping rims, and loading packaging, while robots handle the repetitive, high-precision portioning.

Chef robot camera visualization with bounding boxes.Café Spice / Chef RoboticsThe system enables rapid changeovers because it requires only 120V AC power and a pneumatic quick-disconnect for operation. Each unit is on castors that allow it to be moved where needed on the line with leveling feet to secure the unit in place. Café Spice can use a proprietary quick utensil changer to switch between SKUs—say, from rice to curry—in under 10 minutes. This is essential for a high-SKU manufacturer where downtime directly impacts output. Chef also engineered a custom utensil to handle varying curry densities and suspended proteins without breaking down textures or damaging rice grains.

This means Café Spice can deploy robots quickly; Chef’s units were running in production within two weeks of conveyor installation.

AI-based perception courtesy of a dual RGB and depth camera system creates a “topographical map” of food in pans, allowing the robot to choose optimal scoop points. This is critical for handling ingredients like chicken tikka masala with large protein pieces or dal with lentils suspended in sauce. Integrated scales weigh each deposit in real time, making adjustments in as little as three seconds without halting the line.

The robots then place food into multiple compartments within a tray, ensuring clean separation of rice and curry. This preserves Café Spice’s visual presentation and reduces the need for manual cleaning before sealing.

The continuous weighing feature eliminated the need for periodic spot checks, while ingredient-level data analytics gave Café Spice real-time visibility into every deposit, accessible from anywhere. Says Felix, “It’s hygienic, accurate, and gives us insight into every deposit for trend analysis.”

Business model and deployment approach

Instead of a traditional capital purchase, Café Spice adopted Chef Robotics through a robotics-as-a-service (RaaS) subscription. This model includes hardware and software, all upgrades, field support, and maintenance for a flat monthly fee. It also allowed the company to start small—deploying four robots—before scaling to eight and now sixteen across two fully automated lines.

The RaaS approach reduced financial risk, avoided large upfront costs, and provided the flexibility to expand capacity in stages. This incremental rollout also gave Café Spice time to integrate automation into its workforce culture, redeploying rather than replacing staff.

From constraint to capability

The impact went beyond the numbers. Automating portioning removed one of the biggest sources of repetitive motion injuries. The mobility of Chef robots gave production managers the ability to reconfigure lines as demand shifted, without expensive reengineering.

Chef Robotics Founder and CEO Rajat Bhageria emphasizes that this kind of flexibility is key in food manufacturing. “Many plants have the demand; they just lack the labor,” he says. “By increasing throughput 2–3x without more people, you not only meet demand but often create more jobs anyway.”

For Felix, the transformation is about building resilience: “Automation wasn’t about replacing people; it was about scaling our business, protecting our workers, and ensuring product quality at every step.”

By integrating AI-based robotics upstream in their process, Café Spice has shown that high-mix food production—once considered a poor fit for automation—can achieve the same precision, flexibility, and throughput as more uniform manufacturing, without compromising the culinary standards that define the brand.