Healthcare AI, from boardroom to bedside.
LLMs, VLMs, RAG or on-prem clusters—whatever it takes to unlock value, slash compute spend, and satisfy regulators.
Why Most AI Programs Stall
Generative AI promises transformation in healthcare, but pilots often fail to scale. Four critical gaps stand in the way of enterprise-wide impact and ROI.
Uncertain ROI
High upfront costs meet unclear timelines for tangible clinical or financial returns.
Rising Cloud Bills
Public cloud costs for training and inference spiral without a clear cost-control strategy.
Regulatory Grey Zones
Navigating HIPAA, GDPR, and emerging AI regulations requires deep domain expertise.
Talent Scarcity
Finding architects who blend clinical insight with enterprise-grade engineering is difficult.
Tabla closes all four gaps with one accountable team.
What We Deliver
We deliver tangible outcomes through a focused, three-pillar approach: engineering the financial case, building the right infrastructure, and executing flawlessly from start to finish.
ROI Engineering
We build the business case before a single model is trained. We deliver board-ready financial models including NPV, payback periods, COGS analysis, and sensitivity charts to ensure your AI investment is financially sound and strategically aligned from day one.
On-Prem & Hybrid Builds
Control costs and maximize performance by architecting the optimal mix of on-premise and cloud resources. We design for data sovereignty, predictable expenses, and unmatched scalability.
Optimize Compute Spend
Our hybrid models unlock 50-70% TCO savings for sustained AI workloads by right-sizing your infrastructure.
End-to-End Execution
From initial strategy to scaled production, we manage the entire lifecycle. This includes negotiating data contracts, fine-tuning models, running clinical validation studies, interfacing with FDA consultants, and implementing robust MLOps for continuous governance.
A Timeline of Proven Impact
Our team's expertise is built on a foundation of engineering and clinical breakthroughs at the world's leading technology and healthcare institutions.
2024
Validated an AI model for detecting tuberculosis in a prospective, multi-site study, with findings published in NEJM AI.
2023
Adapted medical imaging AI models to interact with natural language, bridging the gap between visual data and conversational AI.
2022
Deployed a mammography AI in a randomized study that reduced the mean time to breast cancer biopsy by 30%.
2019
Developed a pioneering AI model that identified findings in chest radiographs on par with radiologists, presented at RSNA.
2018
Led the development of a general-purpose AI platform to scale Google's Health AI research across multiple imaging modalities.
2013
Played an instrumental role in the launch of Google Fiber's 1 GB internet service to its first customers.
2012
Led development of YouTube's live transcoding system for the London Olympics, an achievement that won an Engineering Emmy.
Our Five-Step Process
A disciplined, transparent process designed to deliver compliant, ROI-positive AI on time and on budget.
Discover
We identify high-value use cases through workshops with your clinical, operational, and technical teams, focusing on measurable outcomes and feasibility.
Model ROI
We develop a detailed financial projection and business case, quantifying the expected return and TCO to secure executive buy-in before build-out begins.
Architect
Our team designs the optimal on-prem or hybrid infrastructure, specifying hardware, security protocols, and data governance frameworks for compliance and scale.
Deploy
We execute the full build, from model fine-tuning and validation to production deployment, integrating seamlessly with your existing clinical workflows.
Govern & Scale
We implement MLOps for ongoing performance monitoring, model retraining, and governance, ensuring long-term value and regulatory adherence as you scale.
Serving the Healthcare Ecosystem
We partner with organizations across the healthcare and life sciences landscape, providing tailored expertise for each unique environment.
Hospitals
Pharma
Practices
Government
For every partner, our engagement follows a rigorous, end-to-end process: We begin with Strategy to model ROI, then Build the optimal technical architecture, Operate the deployment with robust MLOps, and Train your teams to ensure lasting success.
Deliver Real ROI.
Partner with a team that blends deep clinical insight with elite engineering. Convert your AI ambitions into measurable, compliant, and impactful results.
Your complimentary 30-minute strategy session is the first step.