A construction site doesn't run on software alone. It runs on the pallet of drywall that has to be on the third floor by noon, the water heater for the spec home across town, and the bundle of rebar that just arrived at the depot. The last mile for industrial supplies is a mess of phone calls, spreadsheets, and carrier boards, a problem that is both brutally physical and deeply fragmented. Curri, a Ventura-based logistics platform, is betting it can be the connective tissue.
Founded in 2018 by Matt Lafferty and Brian Gonzalez, Curri operates a nationwide marketplace that connects suppliers and contractors with a network of on-demand drivers and carriers. The company’s core proposition is a unified platform for everything from rush hotshots to scheduled, dedicated fleet services and less-than-truckload (LTL) freight. For an industry where a delayed delivery can idle a crew of twenty, the promise is operational predictability. The company has raised a total of $50.8 million in venture backing from investors including Bessemer Venture Partners and Brick & Mortar Ventures, with a $42 million Series B closed in June 2023 [TechCrunch, 2023-06-06].
The logistics wedge: from hotshot to LTL
Curri’s product strategy is to be a single point of contact for a supplier’s entire delivery motion. Instead of managing separate relationships for urgent deliveries, recurring routes, and bulk freight, a customer can use Curri’s platform to dispatch, track, and pay for all of it. This starts with the most acute pain point: the hotshot.
- On-demand urgency. The platform’s gig-style network of cars, trucks, and flatbeds is built for same-day or scheduled deliveries of construction materials, large appliances, and industrial equipment [Curri, Unknown]. This addresses the ‘Uber for stuff’ need that large distributors like Ferguson have cited in case studies [Curri, Unknown].
- Recurring fleet management. For customers with predictable delivery routes, Curri offers dedicated truck and driver services, moving beyond pure on-demand to become a managed logistics provider.
- Carrier orchestration. The platform also functions as a carrier management system, allowing businesses to compare LTL rates from over 100 nationwide carriers, book shipments, and oversee the entire process from a single dashboard [Curri, Unknown].
The technical glue holding this together is what Curri calls Core Intelligence, an AI layer designed to automate manual tasks. Its Smart Import feature uses AI to extract order details from PDFs or photos, while Payload Decorator helps determine weights and dimensions for accurate pricing [Curri, Unknown]. These are efficiency tools aimed at reducing the administrative friction that plagues shipping departments.
The team and the traction
The leadership team has been built out with executives focused on scaling an operations-heavy business. Alongside founders Lafferty (CEO) and Gonzalez (CTO), the C-suite includes Noah Tutak as Chief Commercial Officer, Phil Hall as CFO, Tyler Harkness as Chief Legal Officer, and Vinit Parikh as COO [Curri, Unknown]. The company reports having between 100 and 172 employees [PitchBook, 2026] [Growjo, Unknown].
Revenue figures from secondary sources suggest the business is scaling. One source estimates annual revenue of $27.4 million, while another cites $23.9 million in annual recurring revenue for 2024 [Growjo, Unknown] [getlatka.com, Unknown]. These figures, while unverified by the company, point to meaningful commercial activity. The same sources estimate a valuation around $71.6 million [getlatka.com, Unknown].
| Executive | Role |
|---|---|
| Matt Lafferty | Founder & CEO |
| Brian Gonzalez | Founder & CTO |
| Noah Tutak | Chief Commercial Officer |
| Phil Hall | Chief Financial Officer |
| Vinit Parikh | Chief Operating Officer |
| Tyler Harkness | Chief Legal Officer |
| Table: Curri's executive team as listed on the company's website [Curri, Unknown]. |
The competitive landscape and the defensible niche
Curri does not operate in a vacuum. It faces competition from generalist on-demand delivery services like Roadie and GoShare. The key differentiator is vertical specialization. Construction and industrial delivery involves unique challenges: oversized loads, specific handling requirements, job site accessibility, and the need for equipment like flatbeds or forklifts. A platform built for consumer parcels will struggle here.
Curri’s bet is that by layering software across the entire spectrum of industrial logistics,from the instant hotshot to the complex LTL shipment,it can achieve deeper integration into its customers’ workflows. This creates a data moat; understanding the flow of materials from supplier to site allows for better routing, capacity forecasting, and pricing. The Bessemer-led Series B is a signal that investors believe this vertical approach can build a defensible business, even in a crowded logistics market.
Where the wheels could come off
Marketplace businesses live and die by liquidity and quality on both sides. For Curri, scaling the driver network nationally while maintaining service reliability for heavy, irregular loads is a non-trivial operational challenge. A driver willing to deliver a sofa may not be equipped or insured to handle a pallet of concrete blocks. The company’s ability to consistently match supply (qualified drivers and carriers) with demand (industrial suppliers) at a national scale will determine its customer retention and unit economics.
Another pressure point is the competitive response from incumbent carriers and new vertical-specific entrants. Large logistics providers could develop similar digital interfaces, while well-funded startups could target sub-segments like heavy machinery transport. Curri’s answer likely hinges on execution speed and the depth of its software integration, making the customer’s cost to switch prohibitively high.
The technical breakdown: Core Intelligence in practice
The AI features Curri promotes are best understood as automation for manual, error-prone tasks. Smart Import, which extracts data from PDFs or photos, tackles a common bottleneck: orders often arrive as scanned purchase orders or pictures of handwritten forms. Automating this data entry reduces errors and speeds up dispatch. Similarly, Payload Decorator’s attempt to auto-calculate weight and dimensions aims to prevent costly repricing or load rejection further down the chain. These are pragmatic applications of AI aimed at administrative efficiency, not autonomous routing. The real technical lift remains the core marketplace engine,matching load, location, vehicle type, and driver in real-time across a fragmented national network.
The sober assessment for any logistics platform betting on a gig network for industrial goods is consistency at scale. A rush delivery for a consumer package has a tolerance for delay; a missing load of roofing shingles can shut down a job site. The systemic risk for Curri is that network fragmentation leads to service variability. Maintaining a reliable, qualified fleet that can handle complex loads in every market it serves is a capital- and operations-intensive problem that no amount of front-end AI can fully solve. Their next twelve months will be about proving that their national network isn’t just broad, but deep and dependable enough for the core of the construction industry to rely on.
Sources
- [TechCrunch, 2023-06-06] Curri nabs $42M for its construction-focused last-mile logistics platform | https://techcrunch.com/2023/06/06/curri-nabs-42m-for-its-construction-focused-last-mile-logistics-platform/
- [Curri, Unknown] Last Mile Delivery for Construction & Industrial Supplies | Curri, https://www.curri.com
- [Curri, Unknown] About Curri, Building logistics for the next era of construction, https://www.curri.com/about-us
- [PitchBook, 2026] Curri company profile
- [Growjo, Unknown] Curri company profile
- [getlatka.com, Unknown] Curri revenue and valuation estimates