New Math Data

MLOps & Infrastructure · Document AI · LLM Agents & RAGLocation not supplied

New Math Data works in AI Data Pipelines for FinTech Platforms, with further work in Predictive Analytics and LLM Agents & RAG.

Average rating: —
Reviews: 0
Profile coverage: 60%
Evidence percentile: P19

Profile updated Oct 27, 2026 · Request a correction

Document AILLM Agents & RAGMLOps & InfrastructurePredictive AnalyticsRecommendation Systems5 categories

62Moderate evidenceStructured signal · 62/100

Primary category: MLOps & Infrastructure
Team size: Not disclosed
Typical budget: Not disclosed
Primary industry: Financial Services & Insurance

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Overview

What New Math Data does best.

About

MLOps & Infrastructure provider for Financial Services & Insurance

Its own website shows its strongest capability in AI Data Pipelines within MLOps & Infrastructure, alongside Feature Stores and MLOps. The industry it describes most is FinTech Platforms.

Service model·Service

Primary AI categoryMLOps & Infrastructure

Benchmarked against 1,351 providers in this category.

Primary industryFinancial Services & Insurance

RankGlobal provider intelligence

Evidence report

How New Math Data compares with peers on evidence, reviews and coverage.

Analyst brief · Published

CategoryMLOps & Infrastructure

Compared with1,351 providers

Signals3 signals

Status● Published

Evidence score

62/100

Moderate evidence19th percentile of 1,351 peers · peer median 70

Profile coverage60

Taxonomy density100

Review signal0

Peer benchmarkHow the profile comparesMLOps & Infrastructure among 1,351 published providers

Average rating0.00 · median 4.89

Independent reviews0 · median 0

Profile completeness60% · median 70%

Taxonomy breadth25 · median 20

This profile Peer median

Signal radarMulti-dimensional evidence

This profile (percentile) Peer median

Industries7 industries

7industries

Financial Services & Insurance22%

Professional & Business Services22%

Education & Research11%

Energy & Utilities11%

Legal, Risk & Compliance11%

Other22%

Share of mapped industries, not share of work or revenue.

Evidence mixMapping grades

Direct · 25

100%Direct · 25 mappings

Grades across 25 mappings. Not a search ranking.

Analyst summary

What the evidence says

New Math Data presents as a moderate evidence profile for MLOps & Infrastructure. It ranks in the 19th percentile of 1,351 published providers in MLOps & Infrastructure, and no reviews on the profile yet.

Current positioning: P19 evidence quality · P60 industry breadth

Strongest signalsEvidence-backed strength in MLOps & Infrastructure is the profile's clearest signal in the mapped taxonomy.

Best user fitFinancial Services & Insurance buyers evaluating MLOps & Infrastructure across engagement sizes.

Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.

How this report is calculated →

Capabilities

AI capabilities.

AI category · 1 / 12

Document AI

—

DirectSupportedRelatedAdjacentOne of 603 providers in this category

Compare Document AI providers →

Technology used

None of the listed technologies is specific to Document AI.

Mapping source · https://newmathdata.com/services/gen-ai — “onboarding and portfolio growth with domain-tuned copilots that draft KYC summaries, generate personalized product recommendations, and surface”

Featured 12 of 16 capabilities, ranked by mapping grade then confidence.

Industry experience · 7 industries · 9 subindustries

Industries served.

7 Core0 Adjacent · discovery only

Financial Services & InsuranceOther providers in Financial Services & Insurance →

FinTech PlatformsDirect · Primary
95%
https://newmathdata.com/ — “complex challenges, fast. Custom Solutions for Your Industry We serve FinTech, Energy, Healthcare, EdTech, and beyond, delivering tailored solution”
Commercial & Retail BankingDirect
90%
https://newmathdata.com/services/cloud-migration — “fit with the least disruption. FinTech & Financial Services Move core banking, payments, and analytics workloads to AWS with near-zero downtime. Po”

Client feedback

What clients say.

No independent reviews found for New Math Data yet.

Worked with New Math Data? Review them → Every reviewer is verified by RankGlobal.

Methodology

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.

T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.RankGlobal trust center →

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Before you reach outKey facts, and three things to confirm once you're in touch.

Primary category: MLOps & Infrastructure
Primary industry: Financial Services & Insurance
Typical budget: Not disclosed
Team size: Not disclosed

1Name the use caseSay which MLOps & Infrastructure problem you are evaluating, so the research team can route your message accurately.
2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
3Ask for a referenceRequest a client reference in Financial Services & Insurance — the strongest industry signal on this profile.