Products, solutions, and consultancy services that revolutionize customer service in telecom — so that every customer call improves the lives of subscribers and saves millions in OpEx.
We combine an AI-native platform with deep telecom expertise and consultancy services — helping carriers at every stage of their AI journey.
A purpose-built, AI-native customer service automation platform. Three operating modes — Human Agent Copilot and Fully Agentic AI — running on AWS and Google Cloud. 15 independently scalable microservices. Ready to deploy in 12 weeks.
End-to-end AI transformation solutions tailored to your contact center. We design the workflow, configure the platform to your BSS environment, build your prompt library, and train your teams — delivering measurable outcomes from day one.
Advisory services for carriers at any stage of AI readiness. From strategic roadmap design to BSS integration planning, compliance architecture, and AI governance — we help you understand exactly how to incorporate AI into your customer service operations.
It cannot be solved with more headcount. It requires a platform built from the ground up with AI at its core.
No persistent context. Every call starts from scratch.
Customers chase carriers — not the other way around.
Agents lack real-time guidance to resolve issues on the first try.
Agents miss eligible offers. Customers miss deals they deserved.
Failed activations from agents committing before checking eligibility.
New agents need months to reach senior performance levels.
5–7 systems, fragmented data, no unified view — agents are overwhelmed.
Toggling between systems adds minutes to every call.
3–5 minutes of manual ACW after every single call.
CPNI, TCPA, PCI-DSS left to agent memory and checklists.
CSAI operates in the mode that fits the call — from AI-guided agents to fully autonomous AI resolution.
Every new customer activation guided by AI from first ring to provisioning confirmation — identity verification, plan selection, device financing, number portability, payment, and SIM provisioning in one unified interface.
4D Customer Context assembled in under 2 seconds on every call. Full subscriber history, open tasks, live sentiment, and AI hints — so the agent arrives informed, not blind.
The AI agent answers, authenticates, resolves, and closes — no human agent required. Tier-1 billing, plan, account, and service inquiries handled end-to-end autonomously.
Six dimensions that distinguish CSAI from generic AI tools and point-solution vendors.
Not a generic AI tool adapted for telecom. Every workflow, data model, and integration pattern was designed for wireless carrier operations from the first line of code.
Hints, context, and risk scores delivered within 400ms of the trigger event — not a batch post-call tool. Live, during the call, when it matters.
STT, NLU, LLM, RAG, BSS integration, analytics, and governance in one platform — not a collection of disconnected AI tools requiring separate vendors and integrations.
Every model, prompt, threshold, and workflow is configurable by the carrier. No black-box AI. Full auditability, version control, and rollback at every level.
CPNI, TCPA, PCI-DSS, and state privacy controls embedded at the platform level — not bolt-on compliance added after the fact.
Structured 12-week deployment with defined milestones, pre-built BSS integrations, and contractual SLAs at every phase gate. Production in 12 weeks, not 18 months.
Your customer service agent is the most important person in your subscriber relationship. They are the face of your company on every call.
Whether a subscriber calls because their mobile data stopped working, they want to add a line for their child, they're asking about the latest iPhone promotion, or they're considering cancelling their plan — CSAI ensures your agent has everything they need to resolve it, first time, every time.
Every call becomes a pleasurable experience. For the subscriber. And for the agent who delivered it.
Typical outcomes for a 1,000-seat contact center deployment in the first contract year.
Typical payback achieved within the first contract year. Contact us for a model tailored to your deployment size.
Addressing the highest-volume, highest-complexity telecom contact center scenarios from day one.
Real-time agent assistance for the highest-volume post-paid consumer contact scenarios. Every billing dispute, plan change, and churn risk handled with full AI context.
Specialized assistance for business account teams managing multi-line fleets, SLA-driven relationships, and contract renewals.
From network issue triage to device diagnostics, outage status, and NOC escalation — every technical call handled with structured AI guidance.
AI identifies at-risk subscribers in real time and equips agents with ranked retention offers, structured save workflows, and outcome tracking for ML feedback.
CSAI supports every leading large language model. Carriers choose the best model for each function — and can switch providers without a single line of code change.
Gemini for analysis, chat & summarization. Chirp for speech-to-text. Dialogflow CX for IVR.
Nova Pro for call scoring & analysis. Amazon Transcribe for STT. Lex v2 for IVR.
Claude models via AWS Bedrock for analysis, summarization, and conversational AI.
GPT-4o for chat and analysis. Whisper for speech-to-text. OpenAI TTS for voice synthesis.
Six regulatory frameworks — enforced architecturally, not by agent memory or manual checklists.
Customer Proprietary Network Information — call scripting and disclosure controls enforced at the platform level on every call.
Telephone Consumer Protection Act — consent capture and do-not-call enforcement built into the call flow, not added on.
Payment card data never stored. Tokenization via Stripe/Braintree. The agent never sees a full card number.
Security, availability, and confidentiality controls across the full platform stack.
California Consumer Privacy Act — data subject rights and minimization built into the data architecture, not bolted on.
Carrier regulatory obligations and emergency service requirements enforced at the platform level.
Founded in January 2025 by a team with over 50 years of combined experience in telecommunications, AI research, enterprise software, and product management.
BE in Electronics & Communications, NIT Surathkal, India. MBA in Finance, Rutgers University. 25+ years in telecom spanning customer technical support, product marketing, product management, sales engineering, and account management across 2G through 5G networks.
BS & MS in Artificial Intelligence from MIT. AI and robotics researcher at Amazon Robotics. At LeapGen AI, she serves as Chief Technology Officer — bringing deep AI expertise to the architecture, development, and evolution of the CSAI platform.
25-year career at Cisco across technical development, customer sales engineering, and product management. Translates carrier requirements into platform capabilities and go-to-market strategy.
BS & MS in Computer Science from MIT. PhD in Artificial Intelligence from UC Berkeley. Leads LeapGen AI's research agenda and platform R&D — directing the development of next-generation AI capabilities for telecom customer service.
From Tier-1 US carriers to global operators across Europe, Africa, the Middle East, and Latin America.
From AI Copilot to zero-transcription autonomous AI.
We'll demonstrate a live customer service call — complete with real-time transcription, AI hints, 4D context, and autonomous resolution. 30 minutes. Your use case.
Schedule Your Demo →