Every day, millions of people miss opportunities, lose deals, and feel isolated — not because of who they are, but because of the language they speak. We're building AI to fix that. In near real-time.
Currently in beta development · Applying to NVIDIA Inception & AWS Activate programs
These aren't hypothetical scenarios. They happen every day, in every country.
A patient in a rural clinic struggles to describe symptoms to a doctor who speaks a different language. Misdiagnosis and delayed treatment are common outcomes.
Cross-border deals fall apart because real-time communication breaks down during negotiation calls. Interpreters are expensive and unavailable on short notice.
Travelers get stranded at foreign airports, miss connections, and can't navigate local services — all because of a language gap their phone's text translator can't bridge fast enough.
First-generation immigrant students fall behind in class — not because they lack ability, but because instruction is delivered in a language they're still learning.
Three steps running in a continuous pipeline to translate your voice across languages.
Talk naturally. SilpaTour captures your voice instantly via any device — phone, laptop, earbuds.
Our AI engine transcribes, translates, and synthesizes speech in near real-time. No typing. Minimal delay.
The other person hears your words in their language — with natural-sounding speech output that aims to preserve tone and clarity.
Our engineering priorities for the beta and beyond.
Our pipeline is designed to minimize delay between speech input and translated output. Current internal target: sub-500ms end-to-end. Optimizing continuously.
Launching with English ↔ Hindi, Spanish, French, Mandarin, and Arabic. Expanding to 15+ language pairs post-beta based on user demand.
Working toward preserving speaker tone and emphasis in translated output. Our TTS models generate natural-sounding speech rather than robotic monotone.
Designed for ephemeral audio processing. We don't persistently store voice recordings or transcripts. Working toward GDPR-compliant architecture.
Beta launches as a web application accessible from any modern browser. Native mobile apps and developer APIs planned for post-beta release.
Our models are optimized to run on NVIDIA GPU architectures. Applying to NVIDIA Inception for access to TensorRT optimization and compute resources.
A custom voice AI pipeline — from audio capture to translated speech output.
WebRTC Audio Streams for bi-directional real-time data packets.
Voice Activity Detection (VAD) filters silences to optimize payloads.
Custom Preprocessing cancels echo and reduces environmental noise.
Browser-Native Capture ensures no client app download is required.
ASR Models: Fine-tuned Whisper model variants for conversations.
NMT Engine: Custom multilingual neural translation models.
Neural TTS: Natural-sounding speech synthesis in the target language.
Optimization Runtime: PyTorch, ONNX, and NVIDIA TensorRT acceleration.
EC2 GPU Nodes serving heavy model computation pipelines.
AWS EKS Orchestration manages dynamic scaling of cluster pods.
AWS CloudFront CDN for low-latency WebSocket connection routing.
S3 Storage holds versions of model artifacts securely.
AES-256 Encryption protects stream packets end-to-end.
Ephemeral Processing: Audio data is processed in memory and not persisted to disk.
GDPR Compliance: Architecting for data protection regulations from day one.
Security Roadmap: Planning for third-party security audits as we scale past beta.
wss://api.silpatour.com/v1/translate
We document everything. Here's what we've done and where we're headed.
SilpaTour was incorporated. The core idea: make real-time voice translation as seamless as a phone call. Team of 2. Zero funding. Full conviction.
First product architecture and UI/UX design completed. Core translation pipeline defined. Technology stack finalized after weeks of deep research.
Began training custom ASR and NMT models on multilingual conversation datasets. First end-to-end pipeline running but with high latency. Established target benchmarks.
Internal demo: English → Hindi real-time voice translation working end-to-end. Still optimizing for latency and output quality.
Beta version shipped internally. Core processing pipeline stabilized for 5 language pairs. Ready for external tester onboarding.
Opening beta access to waitlisted testers. Gathering real-world feedback on translation accuracy, audio capture stability, and user experience.
Applications submitted to NVIDIA Inception and AWS Activate programs. Seeking GPU compute access and cloud infrastructure support for scaling.
Running technical sprints to iterate on real-world beta feedback. Focusing on latency optimization, edge cases in translation, and speech quality improvements.
Targeting a seed round to fund GPU infrastructure, expand the engineering team, and support go-to-market operations.
Expanding active translation pairs based on beta user demand. Releasing developer API documentation and integration guides.
Transitioning from beta to public product. Open API access, expanded language support, and a pricing model based on real usage data from beta.
The language services industry is growing rapidly, but real-time voice translation remains underserved.
Estimated language services market size by 2027 (Source: CSA Research). Driven by cross-border commerce and globalization.
The vast majority of the world's population doesn't speak English as a first language (Source: Ethnologue).
International tourist arrivals per year (Source: UNWTO), many facing language barriers at destinations.
SilpaTour sits at the intersection of real-time AI and multilingual communication. Current solutions rely on text-based translation or expensive human interpreters. We believe there's a significant opportunity for an affordable, voice-first solution.
"Language should never determine what a person can achieve. SilpaTour exists to give every human being — regardless of where they were born or what language they grew up speaking — equal access to communication, opportunity, and connection."
To build a reliable, accessible real-time voice translation tool that helps people communicate across language barriers — starting with healthcare, business, travel, and education use cases.
Real-time voice translation requires running ASR, NMT, and TTS models in parallel — workloads that are fundamentally GPU-bound. Our current pipeline runs on limited GPU resources, and NVIDIA's tools and hardware ecosystem are critical to achieving the latency targets that make voice translation usable in live conversations.
Our three-model inference pipeline (ASR + NMT + TTS) requires GPU acceleration to achieve conversational-speed latency. CPU-only inference is too slow for real-time voice use cases.
TensorRT-optimized inference serving, CUDA-accelerated audio preprocessing, and model quantization for efficient GPU utilization across our translation pipeline.
Real-time multilingual voice AI is a compelling application of GPU-accelerated inference. Our use case demonstrates how NVIDIA hardware directly enables human communication.
SilpaTour's backend is built on AWS — EC2 GPU instances, EKS for orchestration, CloudFront for edge routing, and S3 for model storage. During beta, we're running on minimal compute. AWS Activate support would help us scale infrastructure as we grow from early beta testers to broader availability.
EC2 GPU instances for model inference, EKS for container orchestration, CloudFront for WebSocket edge routing, and S3 for model artifact versioning and storage.
As we onboard more users, we plan to implement auto-scaling inference clusters and multi-region deployment for consistent low-latency translation worldwide.
We're building on AWS because the ecosystem fits our needs. As we scale, our AWS usage grows proportionally. We're committed to staying on the platform.
A dedicated group of engineers, designers, and builders creating the future of real-time translation.
Founder & CEO
"I started SilpaTour because I watched a family member struggle in a hospital where no one spoke their language. That moment made this personal."
Co-Founder & CPO
"Designing translation tools that feel invisible. We want users to focus on their conversation, not the software."
CTO & AI Lead
"GPU-bound parallel pipelines are our primary focus. We optimize speech models for speed and precision."
Lead NLP Engineer
"Fine-tuning multilingual translation models to preserve natural sentence structure and contextual nuances."
Senior Developer
"WebSockets and containerized services. We focus on building real-time pipelines that run with minimal latency."
Open Roles
Looking for a founding ML engineer, a full-stack developer, and a product designer who want to build something that matters.
Help us test real-time speech translation. Beta testers get early access and help shape the product.
We'll notify you by email when beta access is available. Thank you for your interest in SilpaTour.
Have questions or feedback? Reach out to us or find our corporate registration details below.
SEVORSE PRIVATE LIMITED
No 56, Shivamogga Road, Ripponpet, Shimoga, Hosanagar, Karnataka, India, 577426
CIN: U62090KA2025PTC213022
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