From strategy to shipped code, we turn large-language-model buzz into measurable business value—securely, compliantly, and quickly.
Generative AI (GenAI) is outpacing previous waves of innovation, but unlocking value takes more than plugging an API into a prototype. You need clear use-case economics, trustworthy data pipelines, and guardrails that satisfy risk teams on day one. That’s the gap we close.
A GenAI project succeeds only when technology, people, and policy move in lock-step. New Math Data’s framework guides you through six pillars that turn “let’s try GenAI” into a repeatable operating model.
We open every engagement by co-writing an AI mission statement that defines success, sets ethical guardrails, and becomes the north star for every downstream decision.
Clear policies, risk registers, and designated AI stewards ensure every prompt, model, and dataset complies with NIST/ISO guidance and your own code of ethics.
Tight controls on data inputs, third-party licences, and AI-generated outputs protect proprietary content and keep legal teams comfortable in a fast-moving field.
Modular, Well-Architected infrastructure, combined with rock-solid MLOps pipelines, delivers secure data access, scalable model training, and one-click rollbacks.
Upskilling, communication plans, and pilot programs turn wary staff into AI champions and embed new workflows without productivity dips.
Threat-modelling, prompt-injection testing, and continuous monitoring guard against data leakage, model misuse, and emerging Gen AI attack vectors.
New Math Data helps organizations across various industries rapidly build and validate GenAI use cases.
Accelerate onboarding and portfolio growth with domain-tuned copilots that draft KYC summaries, generate personalized product recommendations, and surface anomaly explanations in plain language. Compliance remains airtight, customer wait times decrease, and cross-sell revenue increases, without compromising brand voice or regulatory clarity.
Modernize grid operations and stakeholder reporting. Large language models translate SCADA data, weather forecasts, and GIS layers into plain-language dispatch guidance, automated ESG narratives, and dynamic field-work instructions. Utilities lower balancing costs, integrate renewables more quickly, and publish regulator-ready reports in days rather than weeks.
Relieve clinicians and researchers of documentation overload. Privacy-preserving models summarize visit notes, draft referral letters, identify potential drug interactions, and expedite literature reviews. Staff spend more time on patient care and discovery, while HIPAA safeguards and audit logs provide confidence to legal teams.
Scale personalized learning and faculty productivity. Gen AI converts lectures and courseware into adaptive modules, auto-grades assignments with constructive feedback, and structures student reflections for analytics. Higher engagement, quicker content iteration, and evidence-backed instructional decisions become the norm.
From roadmap to production, we can help at every step so your GenAI project ships fast and delivers value from day one.
We start with a GenAI Readiness Assessment—mapping data, policy, talent, and risk posture—then deliver a phased roadmap and enablement plan so teams adopt, not resist, new workflows.
Through facilitated workshops and rapid ROI modelling, we rank opportunities by value, complexity, and time-to-impact—ensuring the first project is both a quick win and a strategic foundation.
Our library of tested prompt patterns, chaining techniques, and dialogue UX templates keeps outputs on-brand and on-policy; human-in-the-loop feedback tightens quality over time.
We fine-tune leading foundation models with domain data—legal, medical, technical—to match vocabulary, tone, and compliance nuances while respecting licensing and cost limits.
Need grounded answers or multi-step workflows? We combine retrieval-augmented generation with tool-calling agents that can search, calculate, and update systems—delivering verifiable outputs, not hallucinations.
Automated red-team pipelines, factuality scores, and bias tests run at every build; flagged issues trigger re-training or rule-based guardrails before a single end-user sees a bad response.
We orchestrate secure, version-controlled pipelines that draft reports, policies, and summaries—embedding style guides and approval workflows so knowledge workers hit “publish” instead of “copy-paste.”
Role-based access, encryption, audit logs, and policy enforcement ensure every prompt, response, and dataset complies with enterprise, industry, and regional regulations from launch day forward.
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