Control
Business-scoped knowledge
Each agent works from the website and knowledge approved for that business—not a mixed pool of customer content.
Technology
Voice + retrievalA voice is only useful when the intelligence behind it knows your business.
Guftara separates knowledge, reasoning, and speech so every layer can be evaluated for accuracy, speed, language quality, and control.
System flow
From approved knowledge to a natural response.
The grounded-answer path is working today. Voice quality in English, Urdu, and Arabic will be qualified through focused pilots.
- 01
Learn
Prepare the website content, offers, policies, and answers the business approves for use.
- 02
Retrieve
Find the most relevant business context for the customer's question within the correct website boundary.
- 03
Respond
Compose a focused answer, preserve source context, and respect the agent's role and escalation rules.
- 04
Speak
Deliver the response through natural voice, with multilingual quality and latency evaluated during pilots.
Technical foundations
Built to make customer-facing AI more accountable.
Trust
Answers you can inspect
Reviewers can trace an answer to supporting pages, test edge cases, and identify gaps before customer rollout.
Language
Multilingual from the foundation
Retrieval and speech are being designed for English, Urdu, and Arabic rather than adding language as an afterthought.
Performance
Separate workloads, faster iteration
Knowledge preparation, answer generation, and speech delivery can be measured and improved independently.
Architecture that earns trust
Designed for improvement, not a black-box demo.
Each layer has a clear job so the team can find failures, compare models, and strengthen the customer experience deliberately.
Source-aware retrieval
Give the agent the context most likely to answer the question instead of asking a model to improvise from memory.
Independent evaluation
Measure retrieval, answer quality, speech, and latency separately so weaknesses are visible and fixable.
Model flexibility
Evaluate managed and open models against the use case instead of locking the product story to one provider.
Human handoff by design
Treat escalation as part of the agent workflow, with explicit boundaries for uncertainty, sensitivity, and action.
Test the technology on a conversation your business knows well.
A focused pilot measures grounding, language quality, response speed, and handoff behavior against real questions—not a polished demo script.