
In October 2025, Contrails AI , a Bengaluru-based trust & safety technology startup , announced that it has raised $1 million in a pre-seed funding round , co-led by Huddle Ventures and IAN Group .
The fresh capital will be used to build pilots across US & EU markets , focusing on industries like marketplaces, media, financial platforms, and digital ecosystems.
Contrails AI is building a multimodal AI engine designed to detect and mitigate risks posed by AI-generated content.
Its solution spans video, image, audio, and text — enabling enterprises to proactively spot manipulation, fraud, misinformation, and safety threats across all media types in real time.
In essence, Contrails is becoming the guardrail for digital content — offering an infrastructure that helps platforms verify trust, maintain safety, and enforce compliance.
Contrails AI is co-founded by Digvijay Singh and Amitabh Kumar .
Their vision: in a world flooded with synthetic content and deepfakes, platforms need built-in safety and authenticity checks.
They recognized that traditional moderation systems won’t scale in the age of GenAI — we need smart systems that understand content across media.
With the $1 million infusion, Contrails AI plans to:
Deepfake & synthetic content is exploding : reports suggest deepfake files grew from ~500,000 in 2023 to ~8 million in 2025.
Digital platforms are under pressure: user trust, regulatory compliance, brand safety — all depend on robust content verification tools.
Multimodal detection is a strong moat: many solutions focus just on text or images; Contrails is building across video, audio, image, and text.
By offering a trust & safety engine, Contrails can become infrastructure that many platforms must integrate, similar to how payment or identity APIs are today.
Ensuring high detection accuracy across languages, formats, and media types is extremely hard, especially for deepfakes and adversarial content.
Building trust & explainability is critical — platforms need to understand why a piece of content is flagged, not just the result.
Scaling globally means adapting to local norms, legal frameworks, and content moderation expectations.
Competition & copycats : many startups and large players are entering trust & safety; Contrails needs strong differentiation.
Data acquisition & training : getting high-quality ground truth data across modalities is costly and complex.
Contrails aims to turn pilot engagements into enterprise contracts across North America, Europe, and India.
It may build APIs / SDKs so platforms can directly integrate the trust module.
As regulation tightens around AI content, Contrails could play a central role — helping platforms comply with transparency, authenticity, and safety laws.
Over time, it might expand into adjacent domains like content monetization safety, brand monitoring, or identity verification overlays.
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