Conversational AIDevelopment
Voice and chat assistants that resolve requests across every channel. Built on your data, integrated with your systems and governed for enterprise use.
Use Cases
Where Conversational AI creates measurable operational ROI today.
Voice bots
Production-ready voice bots engineered with strict latency, safety, and evaluation benchmarks.
WhatsApp assistants
Production-ready whatsapp assistants engineered with strict latency, safety, and evaluation benchmarks.
Multilingual chat
Production-ready multilingual chat engineered with strict latency, safety, and evaluation benchmarks.
Call-center automation
Production-ready call-center automation engineered with strict latency, safety, and evaluation benchmarks.
What We Deliver
Strategy & roadmap
Use-case discovery, ROI modelling and a phased conversational ai delivery roadmap.
Data foundation
Secure ingestion pipelines, vector indices and metadata governance so models get clean context.
Build & integrate
Production model orchestration, custom agents and REST/gRPC APIs integrated with your core workflows.
Evaluation & safety
Comprehensive safety guardrails, hallucination testing and performance latency benchmarks.
MLOps / LLMOps
Automated deployment, token spend monitoring with Trasys AI, and continuous regression suites.
Enablement
Technical documentation, architecture blueprints and team training so your squad owns the system.
Industries We Serve
Domain-specific AI applications engineered around operational workflows and regulatory standards.
Our Approach
Assess
Identify high-ROI use cases and check data and AI readiness.
Prepare data
Clean, connect and govern the data your models depend on.
Prototype
Working proof-of-concept in weeks, evaluated against real metrics.
Productionize
Secure, observable, scalable deployment integrated with your systems.
Govern & improve
Monitoring, evals, guardrails and continuous fine-tuning.
Built Responsibly
Guardrails
Input/output filtering, PII redaction and policy enforcement on every call.
Explainability
Traceable reasoning, citations and audit logs for every AI decision.
Human in the loop
Review and approval steps where the stakes are high.
Continuous evals
Automated quality, bias and regression testing before and after release.
Start your Conversational AI journey.
Get a working prototype in as little as 6 weeks.
Conversational AI FAQs
Our optimized voice pipelines achieve sub-500ms voice-to-voice turn latency using low-latency WebSockets, fast Speech-to-Text (Deepgram), streaming LLMs, and natural Text-to-Speech.
Yes. We implement real-time voice activity detection (VAD) that immediately mutes model audio output and listens as soon as the user speaks.
We integrate across WhatsApp Business, SMS, web chat, Zendesk, Salesforce Service Cloud, and telephony SIP/PSTN trunking.
When sentiment analysis detects frustration or intent falls outside defined guardrails, the bot performs a warm transfer to human staff, summarizing conversation context in the agent's CRM.