Momentis Surgical

Momentis Surgical

Accelerating Surgical Robotics Innovation

"The most challenging part is not the time in front of the CAD, but in the stage of thinking about the solution. 80% is the easy part. 20% is fine-tuning, dealing with limiting cases. That is the hardest."

"The most challenging part is not the time in front of the CAD, but in the stage of thinking about the solution. 80% is the easy part. 20% is fine-tuning, dealing with limiting cases. That is the hardest."

Noam Dalal

Tech Lead, Mechanical Engineering

About Rafael

Momentis Surgical is transforming minimally invasive surgery with the Anovo Surgical System, a robotic platform that enables transvaginal procedures with unprecedented articulation and reach. The company's miniaturized humanoid robotic arms give surgeons 360-degree dexterity while maintaining a small footprint in the operating room. With FDA 510(k) clearance across gynecological and general surgery procedures, Momentis is bringing robotics with a human touch to surgical teams worldwide.

Industry
Industry
Industry

Medical devices

Engineering Focus
Engineering Focus
Engineering Focus

Robotic Arms, Disposable Instruments.

CAD Platform
CAD Platform
CAD Platform

SolidWorks

The Challenge:

Developing surgical robotics requires extreme precision at miniature scales. Engineers at Momentis design tiny mechanical mechanisms that must be both cost-effective (as disposable devices) and reliable enough for life-critical applications. The engineering team handles hundreds of parts across various manufacturing methods, with big projects spanning 6-12 months and smaller subassemblies taking 2 weeks from concept to production.


For Noam Dalal, who leads mechanical engineering at Momentis, time-to-market is the highest priority. The team frequently used outsourcing, consulting experts, and offshoring manufacturing to accelerate timelines. But the real bottleneck was never the CAD work itself.


Engineers spent significant time on problems that required intelligence but were not inherently challenging, like creating engineering drawings (the contract between designer and manufacturer) or searching for existing designs that could be pulled from inventory instead of reinventing them.

Key Metrics

80%

80%

80%

of engineering time spent on concept and CAD work

20+

subassembly projects per year

2 Weeks

2 Weeks

2 Weeks

typical time from concept to production

The Solution:

Leo AI provides the engineering intelligence layer that Momentis needed. As a CAD-agnostic copilot, Leo works alongside SOLIDWORKS to help engineers explore solutions faster. The platform's technical Q&A with verified sources helps teams find existing mechanisms and design patterns, while its part search across 120M+ vendor parts ensures engineers can identify off-the-shelf components before designing custom solutions.


Faster Concept Exploration: Leo helps engineers move from functional requirements to initial concepts by surfacing relevant mechanisms, design patterns, and potential solutions with cited sources.

Risk-Aware Design Decisions: Engineers can query Leo about design tradeoffs, potential pitfalls, and failure modes before committing to a direction.


Reduced Reinvention: Part search capabilities help teams find existing designs and vendor parts, reducing time spent creating subassemblies that could be sourced from inventory.

3D Concept Visualization: Leo generates 3D mesh for rapid concept visualization, allowing engineers to see mechanical ideas in minutes instead of hours before moving to CAD refinement.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The Impact

For surgical robotics companies like Momentis, where time-to-market is the highest priority, compressing the concept phase can translate directly into competitive advantage. By helping engineers find existing solutions, understand design tradeoffs, and visualize concepts quickly, Leo AI addresses the real bottleneck in mechanical engineering: not the CAD work itself, but the thinking and research that precedes it.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

The implementation of Leo AI has fundamentally changed how HP Indigo approaches the development of its next-generation platforms:

  • Accelerated Development Cycles: By reducing the "search time" for technical information, the team can focus more on active innovation and testing for the V12.

  • Enhanced Team Productivity: With dozens of engineers empowered by AI, the collective "IQ" of the organization is amplified. New team members can contribute faster, and senior engineers can focus on high-level strategy rather than answering repetitive technical questions.

  • Strategic Advantage: The ability to synthesize decades of HP Indigo’s proprietary research allows the team to maintain its competitive edge in the high-speed digital printing market.

Conclusion

Engineers maintain full control over the critical validation phase while Leo handles the intelligence-demanding but repetitive work of research, part search, and concept exploration. This aligns with how experienced engineers already work, building on personal libraries of mechanisms and manufacturing methodologies while continuously learning from industry resources.

"If you had software that you tell 'design a robotic arm that can lift...' and it gives you the full design with datasheet about the parts, this reduces a lot of time. Even if it just shortens the first concept brainstorming, that is great. Reduce the concept parts, and leave you doing the 20% validation."

"If you had software that you tell 'design a robotic arm that can lift...' and it gives you the full design with datasheet about the parts, this reduces a lot of time. Even if it just shortens the first concept brainstorming, that is great. Reduce the concept parts, and leave you doing the 20% validation."

Noam Dalal

Tech Lead, Mechanical Engineering

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160 Alewife Brook Pkwy #1095

Cambridge, MA 02138

United States

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Contact us

160 Alewife Brook Pkwy #1095

Cambridge, MA 02138

United States

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Be the first to know about Leo's newest capabilities and get practical tips to boost your engineering.

Need help? Join the Leo AI Community

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Contact us

160 Alewife Brook Pkwy #1095

Cambridge, MA 02138

United States

Subscribe to our engineering newsletter

Be the first to know about Leo's newest capabilities and get practical tips to boost your engineering.

Need help? Join the Leo AI Community

Connect with other engineers, get answers from our team, and request features.

Contact us

160 Alewife Brook Pkwy #1095

Cambridge, MA 02138

United States