ByondLabs Technologies

ByondLabs is an India-based software consulting firm founded by engineers from Yahoo, LinkedIn, InMobi, Helpshift, and Fairmatic. The three co-founders—Pradeep Jindal (CTO), Raghu Udiyar (CEO), and Mohit Agarwal (Chief Architect)—bring 45+ years of combined experience building systems at scale. Pradeep has processed over 10 billion daily transactions; Raghu designed high-performance platforms at LinkedIn and Helpshift; Mohit architected mobile SDKs deployed across 2 billion+ devices. The firm operates on a fixed-price, accountability-driven model: "Engineered Outcomes. Zero Overruns"—if a project runs over budget, they absorb the cost. They work with ambitious startups and enterprises on GenAI solutions, voice AI agents, real-time video platforms, product engineering, platform engineering, and cloud cost optimization.

Services and capabilities

ByondLabs structures its work around six service lines. Voice AI Agents range from production-grade systems handling thousands of real calls to multilingual, domain-aware deployments. A Hinglish (Hindi-English) voice agent for an automobile manufacturer automated lead revival with brand safety guardrails and CRM integration, handling thousands of customer interactions weekly. Real-Time Video Platforms leverage WebRTC, LiveKit, and streaming infrastructure to handle millions of concurrent video streams. Their live streaming platform for a Twitch-like social media service scaled to 10,000+ simultaneous user sessions and 100,000+ concurrent viewers with sub-second latency and 95% infrastructure cost reduction.

GenAI Solutions span autonomous AI agents, multi-agent orchestration, legacy system integration, and data sovereignty. An AI chatbot for a financial services company reduced data query time by 85% and increased self-service usage 3x. A contract intelligence system for another financial services firm in the US automated extraction of key contract terms and reduced review time by 70% with 95% accuracy (human-validated). An AI-powered translation platform for LocEssentials learns from proprietary linguistic corpus to produce contextually accurate translations.

Product Engineering and Platform Engineering services handle end-to-end development and infrastructure-as-code. A unified order tracking platform built for Dentalkart consolidated data from multiple sources, reducing customer inquiries by 20% and processing thousands of requests daily. Scale-Ready Engineering addresses infrastructure optimization—most visibly in a case study where they cut an HR tech company's AWS costs by 28% through database efficiency improvements. Cloud Cost Optimization is a standalone capability.

Tech stack spans GenAI tools (LangChain, Langfuse, Agno, Promptfoo, LiteLLM), real-time video (LiveKit, WebRTC, FFmpeg, HLS/DASH, GStreamer, Socket.IO), data engineering (Redshift, Snowflake, Apache Spark, dbt, Superset), backend languages (Rust, Python, Go, Node.js), web frameworks (React, Next.js, Vue.js), mobile (Kotlin, Swift, Flutter, React Native), and cloud/DevOps (AWS, Azure, GCP, Kubernetes, Terraform, Grafana). They also work with PostgreSQL, Elasticsearch, and vector databases (pgvector).

Notable work

PhroneticAI: Built a high-performance, resilient video streaming client for an AI-powered video analytics product that eliminated video issues and ensured near-perfect uptime.

LocEssentials: Delivered an AI-powered translation platform that learns from the client's linguistic corpus to produce contextually accurate translations, hitting every milestone on time.

PayKraft: Developed a 360-degree AI chatbot for financial data analytics integrated with invoicing systems, bank transactions, and CRM. The agent reduced support costs by 35%.

Dentalkart: Created a unified order tracking solution across multiple data sources, reducing order inquiries by 20%.

Social Video Platform (unnamed in source): Built a real-time video social media platform that scaled to 10,000+ user video sessions with 100,000+ concurrent viewers and real-time interactive overlays.

Automobile Manufacturer (India): Deployed a Hinglish voice agent for lead revival with domain-specific language patterns and CRM/leadership monitoring integration, handling thousands of weekly interactions.

Financial Services (US): Developed an enterprise contract analysis system with automated clause extraction, risk scoring, human-in-the-loop validation, and audit trails. Reduced contract review time by 70%.

HR Tech Company: Achieved 28% AWS cost reduction by exposing database inefficiencies masked by high resource utilization.

InsurTech: Modernized legacy systems to cloud-native architecture, achieving 99.95% uptime, 60% faster claims processing, and 45% cost reduction.

How they work

Engagement is senior-led and hands-on, with leadership directly involved in execution. They use a four-phase methodology for GenAI work: Use Case Definition (analyze opportunities, set metrics, align vision), AI Design (select models, plan integrations, run design reviews), Implementation (iterative development, system integration, weekly demos), and Optimization (model refinement, scale testing, success tracking). For all projects, they operate on fixed-price estimates backed by accountability—overruns are absorbed by ByondLabs. Communication happens through regular demos and feedback loops. Specific engagement terms (T&M, retainer, team augmentation) are not detailed in the source, but the emphasis is on plugging into the client's workflow with "sharp thinking, clean execution, and tight feedback loops."

Team and credentials

Three co-founders with deep scale experience: Pradeep Jindal (20+ years leading engineering teams at Yahoo, InMobi, Helpshift, Sense Talent Labs, Fairmatic), Raghu Udiyar (15+ years in infrastructure and distributed systems at LinkedIn, Helpshift, Sense Talent Labs, Fairmatic), Mohit Agarwal (11+ years in product engineering, architected SDKs on 2B+ devices). Combined, they represent 45+ years of experience. Exact team size is not stated in the source. No formal certifications (ISO 27001, SOC 2, etc.) are mentioned, though the source notes they've deployed SDKs to 2 billion+ devices and built systems processing 10 billion daily transactions. No Clutch, G2, or awards mentioned. English proficiency is implicit given their prior roles at US and global companies.