Boulder Labs
Computer Software, 6260 Lookout Rd, Boulder, Colorado, 80301, United States, 1-10 Employees
Phone Number: +13*********
Who is BOULDER LABS
At Boulder Labs, we love solving challenging problems. Boulder Labs provides a complete array of custom software development services. We excel at creating real-world solutions that don't...
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- Headquarters: 6260 Lookout Rd, Boulder, Colorado, 80301, United States
- Employees: 1-10
- Revenue: $5 Million to $10 Million
Industry: Computer Software
SIC Code: 7372 | NAICS Code: 334610 | Show More
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Frequently Asked Questions Regarding Boulder Labs
Answer: Boulder Labs's headquarters are located at 6260 Lookout Rd, Boulder, Colorado, 80301, United States
Answer: Boulder Labs's phone number is +13*********
Answer: Boulder Labs's official website is https://boulderlabs.com
Answer: Boulder Labs's revenue is $5 Million to $10 Million
Answer: Boulder Labs's SIC: 7372
Answer: Boulder Labs's NAICS: 334610
Answer: Boulder Labs has 1-10 employees
Answer: Boulder Labs is in Computer Software
Answer: Boulder Labs contact info: Phone number: +13********* Website: https://boulderlabs.com
Answer: At Boulder Labs, we love solving challenging problems. Boulder Labs provides a complete array of custom software development services. We excel at creating real-world solutions that don't break the bank. Whether the goal is a low-power embedded system or a highly-scalable, cloud-based infrastructure, we have the skills and the experience to get it done. On a typical project, we will work closely with our customer to identify their needs and goals, and areas of high risk. We'll then work to reduce this risk and provide immediate value by developing a functional prototype. We leverage existing tools -- especially open-source software -- and follow the latest research, allowing us to build powerful prototypes quickly. Our strengths include: Embedded Systems: Firmware, drivers, real-time control systems, and custom user interfaces for devices with space, memory, and processing limitations Machine Learning and AI: Deep learning systems, data mining and analysis, predictive systems Scientific computing: Scientific modeling, finite element analysis, numerical analysis, and data visualization Natural Language Processing: Statistical language modeling, summarization, classification, sentiment analysis, and syntactic evaluation and correction Image and Video Processing: Object detection, tracking, and identification; scene segmentation and analysis; dynamic sensor calibration Software engineering: Bringing troubled legacy systems under control, scalable web infrastructure, software best practices
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