Boulder Labs Revenue and Competitors
Estimated Revenue & Valuation
- Boulder Labs's estimated annual revenue is currently $957k per year.
- Boulder Labs's estimated revenue per employee is $87,000
Employee Data
- Boulder Labs has 11 Employees.
- Boulder Labs grew their employee count by 10% last year.
Boulder Labs's People
Name | Title | Email/Phone |
---|---|---|
1 | Software Engineer | Reveal Email/Phone |
2 | Software Engineer | Reveal Email/Phone |
3 | Software Engineer | Reveal Email/Phone |
Boulder Labs Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $0.5M | 7 | -30% | N/A | N/A |
#2 | $2M | 20 | 5% | N/A | N/A |
#3 | $85.4M | 471 | -1% | N/A | N/A |
#4 | $1.5M | 17 | N/A | N/A | N/A |
#5 | $0.4M | 6 | 0% | N/A | N/A |
#6 | $1M | 11 | 10% | N/A | N/A |
#7 | $0.3M | 4 | -20% | N/A | N/A |
#8 | $0.6M | 8 | 0% | N/A | N/A |
#9 | $2.3M | 23 | N/A | N/A | N/A |
#10 | $15.7M | 108 | -4% | N/A | N/A |
What 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 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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Total Funding
11
Number of Employees
$957k
Revenue (est)
10%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $0.4M | 11 | 57% | N/A |
#2 | N/A | 11 | 0% | N/A |
#3 | $1.7M | 11 | 0% | N/A |
#4 | $1.7M | 11 | 0% | N/A |
#5 | $1M | 11 | 22% | N/A |