TigerEye CEO Tracy Young and her husband and CTO Ralph Gootee helped build their previous startup, PlanGrid, into a $100 million ARR business before selling it to Autodesk for $850 million in 2018.
Yet in spite of that success, they always felt they left business on the table because of an inability to forecast business changes accurately.
“TigerEye is a business simulation engine that helps companies predict their future,” Young told TechCrunch.
The couple was advising other startups at Y Combinator in 2021 when they decided it was time to build TigerEye.
The following year, they brought a bunch of the core members of the PlanGrid team back together and started working on the problem.
Simulations are an essential step in physical product engineering.
“Luminary’s real-time engineering approach empowers engineering teams to perform product simulation and analysis cycles in minutes, rather than weeks,” Lango said.
[This] results in improved time to market, faster insights, better design outcomes, increased team productivity and better use of valuable physical prototyping dollars.”AI-leaningLuminary isn’t exactly first-to-market with a cloud-based engineering simulation tool.
Lango met Alonso during summer 2019 through Sutter Hill Ventures, the private equity firm, where Lango was an entrepreneur in residence.
Sutter Hill sees a lucrative future in Luminary, evidently, as the startup’s customer base eclipses 33 organizations across the automotive, aerospace and defense and industrial equipment sectors.
Sandbox AQ, the AI and quantum firm spun out of Google parent company Alphabet in 2022, has acquired Good Chemistry, a Vancouver-based quantum and computational chemistry startup, for an undisclosed sum.
Good Chemistry’s platform lets chemistry developers build chemical simulation apps and workflows using algorithms in quantum chemistry and machine learning as well as quantum computing.
“[Tapping] the broader Sandbox AQ reach and domain expertise will supercharge the capabilities of our platform.”As part of the acquisition, Sandbox AQ says that it’ll integrate Good Chemistry’s software, Qemist Cloud and Tangelo, into its enterprise software portfolio.
Qemist lets user take advantage of quantum chemistry through simulation, while Tangelo allows them to conduct chemistry experiments across quantum cloud providers and hardware devices.
Good Chemistry is Sandbox’s second acquisition.
Autonomous delivery startup Nuro has struck a deal with safety-focused software company Foretellix to help with virtual testing of its automated driving system, in a bid to cut R&D costs while still pushing the technology forward.
The partnership, which the companies are set to announce later Thursday, comes in the wake of a tumultuous stretch for Nuro.
Many companies developing automated vehicles have their own simulation software; Foretellix specializes in generating millions of scenarios to test autonomous software, lowering the burden on the in-house teams.
Foretellix’s software is able to “automatically analyze” driving logs from Nuro test vehicles and re-run those drives in simulation many times over.
This allows Nuro’s automated system to encounter many different versions of a drive without the hardship – and most importantly, time – required to run all those variations in the real world.
As if last year’s fabulous Dual Asteroid Redirection Test firing a satellite bullet into an asteroid wasn’t enough, now researchers are doing detailed simulation of the nuclear deflection scenario envisioned in 1998 space disaster film Armageddon.
At Lawrence Livermore National Lab, a team led by Mary Burkey (above) presented a paper that moves the ball forward on what is in reality a fairly active area of research.
The problem is that a nuclear deflection would need to be done in a very precise way or else it could lead (as it did in Armageddon) to chunks of the asteroid hitting Earth anyway.
In particular, understanding whether or not an attempted deflection mission will break apart an asteroid has been a long-standing question in the planetary defense community.
Every detailed, high-fidelity simulation and every broad sensitivity sweep brings the field closer to understanding how effective nuclear mitigation would be.
We’re wrapping up our end-of-year robotics Q&A series with this entry from Deepu Talla.
Over the past several years, NVIDIA has established itself a major platform for robotics simulation, prototyping and deployment.
Previous Q&As:What role(s) will generative AI play in the future of robotics?
Simulation: Models will be able to accelerate simulation development, bridging the gaps between 3D technical artists and developers, by building scenes, constructing environments and generating assets.
These GenAI assets will see increased use for synthetic data generation, robot skills training and software testing.
Fruit flies have been studied in detail because they are a model organism that has many of the same components as humans. Fruit flies have a connectome, or a complete…
