01
Centralized knowledge access
Approved business content is processed, indexed and made searchable through one unified AI layer.
Enterprise Conversational AI
Corporate knowledge, transformed into real-time voice intelligence.
A secure, source-grounded conversational AI platform that lets teams explore approved business knowledge through natural speech, contextual follow-ups and low-latency audio responses.
Ask about any approved company knowledge
“Which healthcare AI projects have we delivered?”
Verified source foundProject case study · Page 8
Context retainedReady for follow-up questions
IndustryEnterprise AI & Knowledge Management
SolutionVoice-Based Corporate Intelligence
Core EngineRAG, Speech AI & Conversational Memory
ExperienceReal-Time, Traceable & Context-Aware
Project overview
From scattered files to one intelligent conversation.
Corporate information often lives across PDFs, project reports, presentations, policies and internal repositories. This platform converts that fragmented knowledge into a secure, conversational intelligence layer.
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Natural voice interaction
Employees ask questions in everyday language without navigating complex folders or dashboards.
03
Grounded, traceable answers
Every response is generated from approved company sources and linked back to the supporting document.
04
Conversation that remembers
Structured memory enables contextual follow-up questions without forcing users to repeat the full topic.
Case StudiesProjects · Industries · Results
Policies & SOPsOperations · Compliance
Project RecordsScope · Architecture · Delivery
Company KnowledgeServices · Capabilities · History
The business challenge
Knowledge existed. Access did not.
Teams needed a faster, more intuitive way to retrieve accurate information while maintaining enterprise trust, context and data governance.
Fragmented information
Important knowledge was distributed across documents, folders and systems.
Slow manual search
Employees spent valuable time locating and reading lengthy files.
Lost conversational context
Traditional search tools treated every query as an isolated request.
Trust and auditability
AI answers needed verifiable sources, access controls and transparent logs.
The solution
A voice-first corporate intelligence platform.
The system unifies speech recognition, enterprise retrieval, contextual memory and streaming audio generation in one modular experience.
Real-time voice intelligence
Streaming speech recognition begins interpreting the question while the user is still speaking.
Retrieval-Augmented Generation
Answers are grounded in approved corporate documents rather than unsupported model knowledge.
Source-level traceability
Each answer retains document, page and retrieval metadata for verification and auditing.
Conversational memory
The assistant keeps the active topic, entities and prior context ready for natural follow-up questions.
Low-latency response streaming
Speculative retrieval and token streaming reduce dead air and create a more natural conversation.
Enterprise security controls
Identity, permissions, content filtering and encrypted data handling protect sensitive knowledge.
Conversation experience
Ask naturally. Follow up instantly.
The assistant understands business terminology, resolves references from earlier turns and surfaces the source behind every answer.
01Which healthcare AI projects have we completed?
02Tell me more about the first project.
03Which technologies were used in that solution?
04Show me the supporting document.
Live response00:08
Project flow
How a question becomes a trusted spoken answer.
The platform overlaps multiple processing stages to reduce latency while preserving retrieval quality and enterprise controls.
01
Capture live audio
Microphone input is divided into small packets and streamed through a persistent real-time connection.
02
Transcribe continuously
Interim transcripts identify words, language and voice activity before the user finishes speaking.
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Normalize the query
Corporate vocabulary correction resolves project names, acronyms and domain terminology.
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Start speculative retrieval
Semantic and keyword search begins as soon as the likely intent becomes sufficiently clear.
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Assemble trusted context
Relevant sections are filtered by permissions, reranked and packaged with conversation memory.
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Generate and stream
The LLM produces a grounded answer token by token while the first complete phrases move to speech synthesis.
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Speak, cite and remember
Audio playback begins, source references are displayed and the conversation state is updated.
System architecture
A modular, enterprise-ready AI architecture.
Each layer can scale independently, allowing speech, retrieval, model and storage services to evolve without rebuilding the complete platform.
Experience
Voice InterfaceWeb · Mobile · Kiosk
Real-time
Audio GatewayWebSocket · WebRTC
Speech
Streaming STTVAD · Vocabulary
Orchestration
AI OrchestratorIntent · Memory · Tools
Response
Streaming TTSGuardrails · Playback
Vector DatabaseEmbeddings · Metadata
Document RepositoryFiles · Policies · Cases
Audit & AnalyticsLogs · Quality · Cost
Identity & AccessSSO · RBAC · Encryption
Hybrid retrieval, permission filtering, context reranking and source attribution operate between the orchestration and knowledge layers.
Knowledge ingestion
Preparing corporate data for accurate retrieval.
The ingestion pipeline cleans, structures and enriches information before it enters the approved enterprise knowledge base.
Collect & validate
Receive approved PDFs, documents, pages and connected data sources with access rules.
Extract & normalize
Clean text, remove noise and preserve document titles, pages, headings and relevant metadata.
Chunk & enrich
Split large files into context-preserving sections and attach industry, project and permission metadata.
Embed & index
Generate vector representations, index metadata and validate retrieval against representative questions.
Engineering decisions
Solving the hard parts of enterprise voice AI.
The experience required more than connecting a language model to a microphone. Latency, terminology, context and trust had to be engineered as first-class product capabilities.
01
Voice-response latency
A sequential pipeline creates long pauses between the question and spoken answer.
Solution: Parallel audio streaming, interim transcription, speculative retrieval and phrase-level speech synthesis.
02
Corporate terminology
Standard speech models can misread acronyms, internal products and project names.
Solution: A domain vocabulary layer corrects likely transcription errors before retrieval.
03
Contextual follow-ups
Questions such as “tell me more about the first one” are incomplete without earlier context.
Solution: Structured session memory rewrites follow-ups into self-contained retrieval queries.
04
Answer trustworthiness
Enterprise users need proof that responses come from approved company knowledge.
Solution: Permission-aware retrieval, confidence checks, source attribution and auditable interaction logs.
Technology stack
Built as a flexible, model-agnostic platform.
The architecture supports interchangeable providers so speech, model and storage components can be selected around security, latency, language and cost requirements.
FrontendNext.js · React · TypeScript
Responsive enterprise web experience and real-time interaction states.
Real-timeWebSockets · WebRTC
Persistent bidirectional audio and event streaming.
BackendFastAPI · Node.js / NestJS
API orchestration, sessions, permissions and service coordination.
AI orchestrationLangGraph · Custom Pipelines
Intent, memory, retrieval, guardrails and streaming model workflows.
Speech intelligenceWhisper · Deepgram · Azure Speech
Streaming transcription, language support and neural speech output.
Knowledge layerRAG · Embeddings · Hybrid Search
Semantic retrieval, keyword search, reranking and source attribution.
DataPostgreSQL · pgvector · Redis
Application data, vector search, session memory and caching.
Cloud & DevOpsAWS / Azure · Docker · CI/CD
Secure deployment, observability, scaling and automated releases.
Business impact
Corporate intelligence that works at conversational speed.
The platform creates practical value across onboarding, delivery, sales, support and executive decision-making.
Faster knowledge access
Teams retrieve information through natural conversation instead of manually searching multiple repositories.
Reduced expert dependency
Institutional knowledge becomes accessible without relying on a small number of experienced employees.
Stronger sales readiness
Business teams can instantly surface relevant projects, capabilities and supporting evidence during conversations.
Better knowledge governance
Permissions, citations and audit trails maintain a transparent link between every answer and its source.
Future roadmap
Designed to expand beyond question answering.
The same intelligence layer can support multilingual communication, connected enterprise systems and action-oriented AI workflows.
Multilingual conversations
Understand and respond across regional languages while preserving terminology and source quality.
Enterprise connectors
Connect SharePoint, Google Drive, Confluence, Slack, Teams, CRM and project-management systems.
Agentic workflows
Move from answering questions to creating reports, locating assets and executing approved business actions.
Build with DevsTree
Make your corporate knowledge instantly accessible.
Transform approved documents, project records and operational knowledge into a secure conversational AI experience built around your users, workflows and governance requirements.