Krishna Goswami, Co-Founder & COO
Ankit Tayal, Founder & CEO
Headquartered in Bengaluru, Techenhance offers a practical blueprint for unifying AI Enablement, Cloud Transformation, and DevOps Automation into a single, production-grade architecture. As founder Ankit Tayal puts it: “AI doesn’t need to be complicated, it needs to be usable.”
Three Pillars, One Purpose
Techenhance structures its offerings across three interlocked domains: AI Enablement, Cloud Transformation, and DevOps Automation. The company offers an integrated transformation stack where AI insights feed into cloud-native applications, which in turn are deployed and updated through automated, secure pipelines.
This fusion becomes particularly powerful during cloud migrations for businesses, especially in traditional sectors, that remain cloud-averse due to perceived complexity and cost unpredictability. Clients begin with an automated cloud readiness audit, proceed through migration accelerators, and then optimize ongoing expenses through AI-
powered financial governance tools. Their cross-functional talent pool spans AI research, cloud architecture, DevOps automation, and product strategy.
A Simplified Path to Cloud and AI Readiness
Many organizations, especially in traditional sectors, hesitate to adopt cloud and AI due to concerns around complexity, cost unpredictability, or disruption to existing systems. Techenhance addresses these hesitations through a step-by-step, automation-led transformation path.
It begins with a fully automated cloud readiness audit that evaluates existing infrastructure, data pipelines, and workload compatibility, delivering a precise diagnostic rather than assumptions. Once the readiness picture is clear, migration accelerators, which comprise guided tools and templates, streamline the shift to cloud-native environments, reducing friction and minimizing downtime. After deployment, AI-powered cost governance tools take over, continuously monitoring and optimizing infrastructure usage to enable smarter budgeting and real-time cost control.
Trust - A Foundational Architecture
Techenhance engineers AI-native DevOps pipelines that automate deployment, version control models, detect drift, and auto-trigger retraining protocols, allowing AI to be treated like any other robust software component. Furthermore, the company insists on transparency where models are designed to be inspectable, auditable, and aligned with data protection standards like GDPR.
The company recently built an AI-powered legal research assistant for a legal tech firm, simplifying Supreme Court and High Court judgment analysis. The research assistant delivers instant summaries, tracks citations and overruling alerts, extracts key paragraphs with original PDFs, and supports multi-case chat for deeper research. With a flexible, credit-based model, it’s helping lawyers and legal teams save hours of manual effort while ensuring faster, smarter, and more accurate legal research, powered by GenAI.
Sustaining Growth the Right Way
While many startups grow fast and fix security issues later, the company does things differently. Its AI systems are also carefully managed, with clear rules for how they’re used, updated, and checked for fairness. Now, the company is doubling down on smart investments, using generative AI to automate work, edge computing for faster decisions, and ethical AI frameworks to keep things responsible. For leaders unsure how to start with AI, Techenhance delivers clear, practical results without the guesswork.
A Simplified Path to Cloud and AI Readiness
Many organizations, especially in traditional sectors, hesitate to adopt cloud and AI due to concerns around complexity, cost unpredictability, or disruption to existing systems. Techenhance addresses these hesitations through a step-by-step, automation-led transformation path.
It begins with a fully automated cloud readiness audit that evaluates existing infrastructure, data pipelines, and workload compatibility, delivering a precise diagnostic rather than assumptions. Once the readiness picture is clear, migration accelerators, which comprise guided tools and templates, streamline the shift to cloud-native environments, reducing friction and minimizing downtime. After deployment, AI-powered cost governance tools take over, continuously monitoring and optimizing infrastructure usage to enable smarter budgeting and real-time cost control.
Techenhance offers a practical blueprint for unifying AI Enablement, Cloud Transformation, and DevOps Automation into a single, production-grade architecture
Trust - A Foundational Architecture
Techenhance engineers AI-native DevOps pipelines that automate deployment, version control models, detect drift, and auto-trigger retraining protocols, allowing AI to be treated like any other robust software component. Furthermore, the company insists on transparency where models are designed to be inspectable, auditable, and aligned with data protection standards like GDPR.
The company recently built an AI-powered legal research assistant for a legal tech firm, simplifying Supreme Court and High Court judgment analysis. The research assistant delivers instant summaries, tracks citations and overruling alerts, extracts key paragraphs with original PDFs, and supports multi-case chat for deeper research. With a flexible, credit-based model, it’s helping lawyers and legal teams save hours of manual effort while ensuring faster, smarter, and more accurate legal research, powered by GenAI.
Sustaining Growth the Right Way
While many startups grow fast and fix security issues later, the company does things differently. Its AI systems are also carefully managed, with clear rules for how they’re used, updated, and checked for fairness. Now, the company is doubling down on smart investments, using generative AI to automate work, edge computing for faster decisions, and ethical AI frameworks to keep things responsible. For leaders unsure how to start with AI, Techenhance delivers clear, practical results without the guesswork.
