About us
Company story
"We've lived the logging problem from every angle. First at startups where we struggled with convoluted logging systems. Then at DataDog and Splunk - the industry's biggest observability players - where we witnessed firsthand how enterprises waste millions on logging.
Both companies separately taught us the same lesson: these platforms are fundamentally broken. They're overpriced, resistant to innovation, and once you're in, you can't switch off."
Both companies separately taught us the same lesson: these platforms are fundamentally broken. They're overpriced, resistant to innovation, and once you're in, you can't switch off."
Our solution
"At Sift, we're building a future where engineers never read another log line. Our AI-powered pipeline:
- Analyzes your logs in real-time
- Creates intelligent rules to cut volume
- Routes data exactly where you need it
- Continuously optimizes as your logging changes
We've started by building the Segment of observability: using AI to determine which logs are most valuable and send them to your preferred tools and systems."
The Problem We're Solving
"Today's newest logging systems still rely on human analysis - engineers sifting through heaps of data to find errors and insights. This approach is backwards. Systems generate data at machine speed; we analyze it at human speed.”
Meet Our Team
Kaushik and Ishir's paths first crossed when they discovered they'd learned the same lesson at different companies. After working at the industry's biggest players - DataDog and Splunk - they realized there had to be a better way.
Kaushik Akula
At 11, I fell in love with building through hackathons, where each project solved real problems. As an early engineer across multiple startups, I witnessed firsthand how observability challenges throttled growth. At EY Parthenon's DealTech, I dove deep into enterprise cost optimization, before joining Datadog's log management team where I worked with both Fortune 500 companies and growing startups.
Ishir Vaidyanath
At 14, I scaled a tech nonprofit to 400 team members across 43 chapters in 16 countries. This early dive into tech led me to Splunk, where I worked with Fortune 100 companies to solve the world's most complex observability challenges. After experiencing the ruthless efficiency of quant trading and drawing from my roots as an M&T student from Wharton, one thing became clear: today's approach to data observability isn't just inefficient - it's broken.
Together, they founded SIFT with a simple belief: your logs are yours, and controlling them should be simple.
Together, they founded SIFT with a simple belief: your logs are yours, and controlling them should be simple.
Ready to Get Started?
