Speech-to-text pipelines
Transcription flows for calls, interviews, meetings, and voice operations with routing into review and analytics workflows.
NLP and Voice AI
Language AI for voice, documents, and knowledge workflows
Turn conversations, forms, reports, and internal knowledge into searchable, automatable systems with production-grade governance.
Speech, OCR, document understanding, and retrievalMultilingual pipeline support where the data justifies itStructured outputs for downstream workflows
What we build
Document AI
Classification, extraction, and normalization for forms, statements, contracts, and other business documents.
Enterprise search and RAG
Retrieval systems that make internal knowledge bases, policies, and documents easier to search and use.
Voice and multilingual UX
Text-to-speech, conversational interfaces, and localized content flows for user-facing or internal products.
Typical use cases
Call center analytics
Transcribe and analyze service calls for QA, trend detection, and workflow automation.
Document intake automation
Reduce manual handling of forms, claims, invoices, and records with structured extraction.
Knowledge assistants
Help internal teams retrieve policy, product, and process knowledge with grounded answers.
Voice-first product flows
Support speech interfaces where users need low-friction interaction or accessibility-first design.
How IMAI delivers language AI
01
Map source formats, quality issues, and multilingual constraints before model selection.
02
Design structured outputs that fit your downstream search, review, or automation workflow.
03
Deploy with observability for retrieval quality, hallucination risk, and operational performance.
NLP and voice AI FAQ
Do you support document workflows as well as speech?+
Yes. We work across voice, text, OCR, and document understanding depending on the workflow requirements.
Can you build multilingual retrieval or transcription systems?+
Yes. We scope multilingual support based on the languages, quality requirements, and expected data volume.
How do you reduce hallucinations in retrieval-based assistants?+
We combine source control, retrieval tuning, answer constraints, evaluation, and escalation paths for uncertain cases.
Start with a scoped conversation
Planning an AI rollout or rescuing a stalled pilot?
Share the workflow, sample data, and deployment constraints. We will help you define the right scope, architecture, and validation plan.
Helpful inputs
A business process or operating problemSample video, audio, text, or documentsLatency, accuracy, security, or deployment constraints