A presentation deck of five production AI platforms — voice agents, spatial vision, secure enterprise RAG, semantic recruitment, and autonomous meeting intelligence — built for scale, latency, and compliance.
Use the sticky project tabs. Each case follows the same narrative arc so you can switch projects mid-conversation without losing the client.
Transforming traditional telecommunication IVRs into fully autonomous conversational agents, scaling up to 50,000+ daily active calls safely.
Presentation narrative
VoiceRix resolves structural inbound leakage and staff overhead bottlenecks by deploying real-time WebSocket conversational logic directly into telephone trunks.
100% automated call responses across infinite telephone lines, qualifying incoming prospect needs instantly without call queue delay.
Bidirectional real-time audio pipeline managing live Speech-to-Text and Text-to-Speech synthesis with under 800ms round-trips.
Redis-backed buffer queue scheduling CRM database transactions safely under burst call volume conditions.
Complete encryption of audio streams and compliance audits ensuring candidate credentials and profile safety.
Validated production metrics from the VoiceRix Conversational AI integration.
VoiceRix delivers 100% inbound coverage across infinite concurrent telephone lines. Achieving sub-second latency, the platform provides a 4.5x reduction in customer qualification costs compared to human operators. It is proven to scale up to 50,000+ daily active calls.
Full coverage of inbound calls with instant, automated speech responses.
Speech-to-Text and Text-to-Speech round-trip velocity for natural conversations.
Sourcing cost reduction compared to human-staffed call centers.
Proven capacity to handle massive concurrent telecommunication workloads.
“VoiceRix resolves structural inbound leakage and staff overhead bottlenecks by deploying real-time WebSocket conversational logic directly into telephone trunks.”
Qrious Tech · VoiceRix
Replacing manual video audit workflows with context-aware behavior mapping, analyzing up to 10,000+ camera streams concurrently.
Presentation narrative
vigilens ai bridges the gap between raw video data and operational insights by automating behavior monitoring directly on the edge.
Local inference using YOLOv26 models optimized for low-power devices, identifying custom classes under variable lighting.
DeepSORT tracking coupled with person Re-ID vectors indexed in Weaviate, maintaining identity across camera blind spots.
Asynchronous message brokers routing immediate threat classifications directly to onsite security teams.
On-chip face blurring and biometric hash generation, protecting individual identities while securing metric records.
Validated production metrics from the vigilens ai spatial intelligence platform.
The platform reduces manual review times by over 95% and supports horizontal scaling up to 10,000+ concurrent live camera streams. With alert dispatch latency under 100ms, it maps and publishes over 50 unique spatial behavioral metrics directly to enterprise CRMs.
Reduction in manual camera review workloads for operations teams.
Concurrent camera channels supported across cloud edge infrastructures.
Alert latency from spatial anomaly detection to security console dispatch.
Unique spatial behavioral statistics mapped directly to database dashboards.
“Video Analyzer bridges the gap between raw video data and operational insights by automating behavior monitoring directly on the edge.”
Qrious Tech · vigilens ai
Connecting multi-source SaaS files to secure conversational AI agents while strictly enforcing role-based access controls.
Presentation narrative
Enterprise GPT acts as a high-security conversational intelligence layer, connecting HR systems, document repositories, CRMs, and financial records.
Switch the signed-in role, ask a suggested question, and watch the RAG agent answer only within that role’s permission boundary. Use this during the pitch to prove RBAC in real time.
Enforces RBAC metadata checks at query time, restricting document content to authorized user roles.
Personas configured for HR, Finance, and Sales with tailored system instructions and isolated namespaces.
Retrieval-Augmented Generation using Pinecone namespaces to separate proprietary tenant databases.
Continuous background sync with Google Drive, Salesforce, and HRMS via REST and Microsoft Graph APIs.
Validated performance metrics.
The platform saves 2.5 hours daily per employee in search time, achieves 100% RBAC document access compliance, meets SOC2 security standards, and seamlessly syncs with 4+ SaaS integrations including Google Drive, Salesforce, Microsoft Graph, and HRMS systems.
Average daily search time recovered per employee through unified semantic knowledge access.
Full role-based access control enforcement on every document query.
Enterprise-grade compliance achieved with Cognito auth and encrypted data transit pipelines.
Simultaneous syncs with Google Drive, Salesforce, Microsoft Graph, and HRMS systems.
“Enterprise GPT acts as a high-security conversational intelligence layer, connecting HR systems, document repositories, CRMs, and financial records.”
Qrious Tech · Enterprise GPT
Automating candidate sourcing and multi-factor grading by replacing flat keyword matches with context-aware cognitive profiles.
Presentation narrative
Hire Match optimizes candidate acquisition pipelines through deep-fit parsing frameworks.
LangChain-orchestrated NLP analysis that parses job descriptions to detect hiring gaps, identify missing metrics, and generate clarifying recruiter feedback loops.
Multi-tier parser utilizing AWS Textract OCR and Google Doc AI to parse complex unstructured layouts and standardize them into JSON profiles.
Vector similarity searches using PGVector, exploring transferable skills, measuring system architecture scale, and evaluating domain industry indices.
Provides side-by-side gap ratio mappings, S3 bulk upload tracking status, and generates automated interview-readiness assessments.
Validated performance metrics.
The platform reduces recruiter screening workload by 90%, processes multi-format files in under 10 seconds from ingestion to multi-factor candidate scoring, supports concurrent batch uploads of 10k+ files, and delivers 95% skill match accuracy across specialized technical domains.
Reduction in recruiter screening workload and pipeline candidate drop-offs.
Simultaneous processing support leveraging async AWS Lambda orchestration.
Response latency to convert a multi-format file into a scored candidate fitment profile.
Correct identification of specialized technical skill gaps across different professional domains.
“Hire Match optimizes candidate acquisition pipelines through deep-fit parsing frameworks.”
Qrious Tech · Hire Match
Eliminating manual administrative overhead with headless virtual assistants that automatically join, record, transcribe, and translate complex conversations into structured databases.
Presentation narrative
Meeting Bot autonomously joins Google Meet, MS Teams, and Zoom conferences to capture audio, structure conversational timelines, and generate high-fidelity transcripts.
Automatically navigates waiting rooms, lobbies, and permission prompts across Meet, Zoom, and Teams.
Captures multi-participant audio streams using virtual sound cards without requiring physical microphone hardware.
Converts speech into searchable timestamped transcripts with multi-speaker diarization support.
Generates executive summaries, decisions, action plans, and meeting insights using AI models.
Validated meeting automation performance metrics.
The platform reduces meeting documentation effort by 90%, generates structured summaries in under 3 minutes, supports 10,000+ concurrent meetings, and provides 100% action item traceability across historical records.
Reduction in manual documentation, follow-up scheduling, and administrative effort.
Time required to generate transcripts, summaries, goals, and action items after a meeting ends.
Scalable architecture supporting high-volume meeting processing workloads.
Complete tracking of tasks, ownership assignments, and historical meeting decisions.
“Meeting Bot autonomously joins Google Meet, MS Teams, and Zoom conferences to capture audio, structure conversational timelines, and generate high-fidelity transcripts.”
Qrious Tech · Meeting Bot
Each system above is a production reference — not a slideware concept. We can scope a discovery workshop around voice, vision, RAG, recruitment, or meeting intelligence.
