Bengaluru-based BLUE has launched an AI video analytics platform built on a proprietary semantic codec designed to slash bandwidth and storage costs for enterprises. The company is targeting a tenfold revenue jump by FY30, backed by early partnerships in India and the United States. BLUE’s announcement marks one of the most ambitious growth bets by an Indian deep-tech startup in 2026.
In This Article
Key Highlights
- BLUE targets 10X revenue growth by FY30 on the back of its AI-native video infrastructure
- A proprietary semantic codec sits at the core of the platform, optimizing how video data is encoded and stored
- Early partnerships confirmed with leading enterprises in both India and the United States as of 2026
What BLUE’s AI Video Analytics Platform Actually Does
BLUE’s AI video analytics platform does not compress video the way traditional codecs do. Instead, its semantic codec interprets the meaning inside video frames, encoding only information that matters to the downstream analytics engine. The result is a steep reduction in the volume of raw data that businesses must store and transmit. For industries running large-scale surveillance, retail intelligence, or industrial monitoring, that reduction directly cuts operating costs without sacrificing analytical accuracy or frame-level detail.
How AI Video Analytics Reshapes Bandwidth Economics
Telecom operators and cloud providers in India have long struggled with the cost of transporting high-resolution video at scale. BLUE’s AI video analytics approach attacks that cost at the encoding layer rather than the network layer, which is a fundamentally different strategy from what incumbents like Cisco or Axis Communications currently deploy. Early adopters in the US have reportedly validated meaningful reductions in storage expenditure, giving BLUE a proof point it can now take to Indian enterprise customers across BFSI, retail, and smart-city deployments in 2026.
“Semantic-layer compression is where the real efficiency gains live. Any startup that cracks enterprise-grade accuracy at that layer has a credible shot at displacing legacy video management vendors within two to three budget cycles.” — Industry Analyst, Telecom Sector
What Happens Next
BLUE will move to scale its existing India and US partnerships through the second half of 2026 while building out the enterprise sales infrastructure needed to hit its FY30 revenue target. The company’s AI video analytics roadmap is expected to include edge-deployment capabilities, which would reduce dependence on centralized cloud processing. Watch for BLUE to announce additional partnership agreements and potentially seek a fresh funding round before the end of the current fiscal year to fuel that expansion.
Sources: TRAI ↗ | DOT ↗ Economic Times
People Also Ask
- What is BLUE’s AI video analytics platform? BLUE’s platform uses a proprietary semantic codec to encode only analytically relevant video data, cutting bandwidth and storage costs for enterprises across sectors like retail, surveillance, and smart cities.
- How does a semantic codec differ from a standard video codec? A standard codec compresses raw pixel data. A semantic codec interprets the content and meaning within frames, encoding only the information an analytics engine actually needs, reducing data volume significantly.
- What revenue target has BLUE set and by when? BLUE is targeting a tenfold increase in revenue by FY30, driven by adoption of its AI-native video infrastructure among enterprise clients in India and the United States.
