“Mars and Tredence truly think that the unified multimodal platform approach with compliance with Responsible AI principles is the way forward because it empowers both technology and business users to leverage AI in their daily work in a safe way"
Director of Digital Experiences Platforms
Tredence’s LLMOps capabilities enable enterprises to rapidly develop, deploy, and scale AI and ML models across their businesses.
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Tredence has developed end-to-end services to help you succeed with GenAI. We work with you to select and prioritize the right use cases, rapidly prototype solutions, and industrialize models using our prebuilt tools.
Move rapidly from an AI vision to a fully defined plan for innovating with GenAI. Work with Tredence to conduct a maturity assessment of your current readiness and evaluate and prioritize key use cases. Gain a new AI platform and supporting technology with an integrated risk and governance framework.
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Access a sandbox where your team can rapidly prototype and experiment with shortlisted technology and techniques, finetuning them for cost and performance. Fast-track the go/no-go decision while selecting the best solutions.
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Simplify the process of industrializing GenAI models using our frameworks, processes, and policies. Harness our monitoring and management services to ensure model output remains high-quality and trustworthy. Embed GenAI into consumption systems to democratize tool and insight use across your teams.
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Tredence solutions span frameworks, accelerators, data security and privacy tools, responsible AI capabilities, and cost estimation and control tools. Build on our foundation while predicting and controlling model costs.
Leverage our frameworks to assess data and AI maturity, forecast ROI for technology and platform initiatives, prioritize use cases, and design your LLMOps organization and governance.
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Leverage our GenAI Ops accelerators to rapidly prototype GenAI use case & industrialize the solution to production. There are around 20 reusable & optimized services to help organizations build prototypes & scale them to production solution.
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Leverage our GenAI lens accelerator to provision quality measurement across GenAI lifecycle in production, covering LLMs evaluation, system health metrics, Token cost, latency, etc. and Guardrails.
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Use our frameworks to detect and isolate hallucinations and toxic content, speeding their mitigation. Implement ethical guardrails to ensure compliance with company policies and standards. Ensure model output is explainable to all key stakeholders.
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Estimate the costs of different models. Reduce costs by using caching, prompt optimization, hashing, and fine-tuning.
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engagements on Tredence GenAI-as-a-Service LLMOps framework
data scientists trained on GenAI
reusable assets and accelerators
reusable GenAI components and software development kits
key partnerships with leading data and hyperscale platform providers
A global US-based retailer sought to use first-party data on customer behavior to develop targeted campaigns that enabled greater product discovery and drove more sales.
Tredence worked with the retailer to develop an intuitive layer where business users could request customer personals and update product category requirements. Next, we built a system layer that used an LLM to identify product categories attributed to different customer personals, efficiently tagged products to personas based on their attributes, and evaluated the accuracy of tagging tasks.
80% reduction in processing time by automating persona requests, speeding decision-making.
New revenue sources: Identified by tailoring campaigns and marketing strategies and optimizing product selection.
50% lower costs, due to automated processes.
A global consumer packaged goods (CPG) firm sought to unlock rapid business value by creating a global AI foundation platform that would enable it to monetize its data platforms in new ways and scale new AI/ML capabilities.
Tredence worked with the CPG to design and set up an AI foundation, use our framework to curate large language models and implement LLMOps capabilities to scale models. We also provided an advanced automated RAG framework with prebuilt guardrails to reduce hallucinations and ensure model observability. Quick-start AI software development kits enable the CPG to build and deploy AI-powered products rapidly.
30% lower costs due to design optimization of vector databases and indexes
40% faster mean time to provision GenAI architectures by using pre-curated templates
25% improved outcomes for marketing and customer analytics using GenAI solutions
A global biotechnology company used manual processes to review and integrate unstructured data and identify key opinion leaders (KOLs) who could amplify knowledge of their products.
The company worked with Tredence to develop a GenAI-powered graph analytics solution that auto-extracted knowledge from 50K medical science liaison interactions and 30k publications. The tool enables users to analyze and visualize relationships between doctors and institutions, identify KOLs, and quantify their influence. It also enables biotech staff to use the right channel to interact with these experts at the right time.
80% reduction in manual efforts
30% increase in discovering top KOLs
400K records processed per disease area
80% overall solution automation
In the highly competitive private equity (PE) industry, analysts must analyze candidates for deals at pace. This PE leader sought to create a significant competitive advantage by automating manual work, enabling teams to focus on deeper deal analysis.
Tredence and Databricks built a state-of-the-art deal summarization engine that identifies insights from historical deals and external data and generates summaries of critical information summaries. The tool uses machine learning to evaluate targets’ engagement strategies and the PE’s historical approach to similar deals.
90% reduction in time to gather deal intelligence
Deep intel gathering: Some of which might have been missed with human efforts
$5M-10M estimated deal evaluation cost savings
$35M-40M anticipated due diligence cost savings
Tredence partnered with the hospitality company to transform customer marketing and improve acquisition, retention, engagement, and sales.
We set up and continue to operate a data, AI, and analytics center of excellence (CoE). The CoE provides digital analytics, personalized and cross-channel marketing, email marketing and a decision engine, loyalty program and revenue management tools, and more to drive impact. The CoE has improved the company’s forecasting capabilities by 10 percentage points, engaged 15M at-risk customers, and improved its net promoter score by seven points.
300M customer data migrated, transformed, and converted into analytical data sets
51+ propensity algorithm pipelines designed for targeted marketing to reduce acquisition costs
Actionable insights: Generated by modernizing data and streamlining reporting
$10M revenues driven from at-risk customers engaged with personalized marketing
$500+ estimated lift in customer lifetime value (CLTV) for bigger spenders
