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Jiga

PlatformTel Aviv, IsraelFounded 2020· One of 203 Platform companies tracked by AMPulse

AI-native digital manufacturing platform that connects engineers directly with vetted global suppliers for 3D printing, CNC, and sheet metal, reducing parts sourcing time from weeks to hours.

CEO / Founder
Adar Hay
Team Size
11-50
Stage
Active
Total Funding
$16.1M
Latest Round
Series A
Key Investors
Aleph; Symbol; Y Combinator; Halo Labs; Pareto Holdings; Emles Venture Partners

Technology & Products

Key Products

AI-native manufacturing platform for custom parts procurement (3D printing, CNC, sheet metal), connecting engineers directly with vetted global suppliers.

Technological Advantage

CLAIMED: AI-driven quoting and DFM feedback reduces administrative overhead by 80%. VERIFIED: Platform architecture enables real-time chat and file sharing with manufacturers, bypassing traditional broker models. DEFENSIBLE: Network effects from vetted supplier base and accumulated quoting/DFM data create switching costs.

Differentiation

Value Proposition

Reduces custom parts procurement lead times from weeks to hours and cuts costs by 20-30% by eliminating middleman markups, enabling direct DFM collaboration with vetted manufacturers, and automating administrative workflows via AI.

How They Differentiate

Unlike Xometry's automated, middleman-heavy model that obscures supplier identity, Jiga enables direct engineer-to-manufacturer communication, fostering long-term partnerships and iterative DFM. Jiga's AI focuses on workflow management and complex quoting rather than instant algorithmic pricing, better serving low-to-mid volume production runs.

Market & Competition

Target Customers

Hardware engineers, product developers, and supply chain managers at tech, aerospace, and industrial companies

Industry Verticals

Aerospace & Defense; Automotive; Industrial Manufacturing; Consumer Electronics; Robotics

Competitors

Xometry; Protolabs; Hubs

Growth & Milestones

Growth Metrics

Revenue reached $7.2M in 2024 with a 49-person team; employee count grew 64% YoY.

Major Milestones

Launched YC W21 batch (2021); Raised $4.1M Seed round led by Symbol (2021); Reached $7.2M ARR with 49 employees (2024); Closed $12M Series A led by Aleph to scale AI-native sourcing (2024)

Notable Customers

NASA; Siemens; Tesla; Google

Why this company matters

Jiga positions itself as a challenger to established digital manufacturing marketplaces like Xometry and Protolabs by eliminating the middleman model. Instead of obscuring supplier identity and reselling capacity, Jiga enables direct engineer-to-manufacturer communication, fostering long-term partnerships and iterative design for manufacturability (DFM) feedback. This approach targets the collaboration and transparency gaps that persist in incumbent platforms, particularly for low-to-mid volume production runs.

The platform uses AI to automate quoting, order management, and administrative workflows, reducing overhead by an estimated 80%. Engineers can upload CAD files, receive DFM feedback from vetted suppliers in real time, and manage orders through a single interface. Jiga supports metal and polymer additive manufacturing alongside CNC machining and sheet metal fabrication, making it a multi-process sourcing hub.

Jiga's customer base spans aerospace, automotive, industrial manufacturing, consumer electronics, and robotics. Named enterprise users include NASA, Siemens, Tesla, and Google, indicating traction with organizations that require rigorous quality and supply chain transparency. The company raised $16.1 million from investors including Aleph, Symbol, and Y Combinator, and reported $7.2 million in revenue for 2024 with a 49-person team.

The platform's defensibility rests on network effects from its vetted supplier base and accumulated quoting and DFM data, which create switching costs for both engineers and manufacturers. However, scaling the supplier network while maintaining quality and response times will be critical as larger competitors invest in AI and automation. Jiga's direct-communication model offers a clear alternative for buyers who prioritize collaboration over instant algorithmic pricing.