Give purpose to unstructured data
Most enterprise knowledge lives in documents, tickets and conversations that standard tools cannot analyze. Gen AI solutions free up the value in that unstructured data, and QKTech builds them to be nimble and cost-efficient across testing, conversational systems and knowledge retrieval, for knowledge managers, analysts, product teams and CXOs.
Our analytics agents identify comparison criteria on their own and back the analysis with automated validation. With expertise in low-rank adaptation (LoRA) and quantization, we deliver customized, domain-relevant answers without delay.
As a Gen AI solutions provider, QKTech covers the full path from LLM fine-tuning and RAG to Gen AI assurance, with regulatory templates for SEBI and RBI requirements.
How we make your business an AI business
GenAI-powered quality engineering
We apply generative AI to QA, including test case generation, script creation and autonomous regression testing with LLMs, integrated into CI/CD pipelines with an engineer co-pilot.
Conversational AI and voice automation
Multilingual chat and voice flows and voice-to-action bots for call centers connect to CRM, ERP and support systems for BFSI, retail and telecom, with human-in-the-loop escalation and continuously tuned prompts and models.
Analytics AI agents
Agents built for enterprise knowledge identify analysis dimensions on their own and extract contextual insights, optimizing token usage with proprietary preprocessing for domain-specific, cost-efficient deployment.
Gen AI assurance
Automated, compliance-ready validation covers chatbots, test data, prompts, APIs and UI, with checks for tone, memory, hallucination and fairness. It supports RAG and hybrid LLM systems and offers a proprietary non-LLM evaluation approach.
Fine-tuning for LLMs
We fine-tune open-source and proprietary models for accuracy and domain fit, which lowers compute and token costs, with hybrid or on-premises options and full lifecycle support.
RAG (retrieval-augmented generation) solutions
We combine private enterprise data with LLMs through secure ingestion of documents, APIs and structured data, designed to handle boundary conditions and reduce hallucinations, and deployable in secure, compliance-focused environments.
Start small or scale with the full suite
LoRA, transfer learning and quantization for domain-specific adaptation
Token optimization for cost control
Preprocessing modules for unstructured data
Custom deployment pipelines (cloud, on-prem or hybrid)
Integration with language model frameworks and vector datastores
Regulatory templates (SEBI, RBI)
What results do Gen AI solutions deliver?
QKTech brings 25+ years of engineering experience to Gen AI programs, and clients see the following benefits.
100K+
agent hours saved annually by a leading electric mobility company with AI-powered call summarization
150K+
workforce reached by GenAI adoption at a global manufacturing conglomerate
59%
improved efficiency in QA operations
Zero
critical defects at release
Punctual
On-time cost-optimized delivery
Efficient
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Common questions about Gen AI Solutions
What are Gen AI solutions for enterprises?
Gen AI solutions use generative AI to turn unstructured data into accurate, domain-relevant answers, through conversational assistants, analytics agents, fine-tuned models and RAG. QKTech builds and assures them across testing, conversational systems and knowledge retrieval.
What is retrieval-augmented generation (RAG)?
RAG combines private enterprise data with an LLM, which grounds answers in your documents, APIs and structured data. QKTech designs secure ingestion and handles boundary conditions to reduce hallucinations.
When should assurance start in a modernization program?
It should start at design, with quality gates defined before build begins. Early gates find architecture and integration risks while they are still inexpensive to fix.
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