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Intellegens

Predictive Analytics · MLOps & InfrastructureCambridge, UKFounded 2017

An applied machine learning company providing the Alchemite™ platform to accelerate R&D in chemicals, materials, and life sciences by extracting value from sparse and noisy experimental data.

4.8
Average rating
18
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
Predictive Analytics
Team size
10-25 employees
Typical budget
$50K - $150K
Primary industry
Aerospace, Defense & Space
Provider overview

A clear view of what Intellegens does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
Predictive Analytics provider for Aerospace, Defense & Space

An applied machine learning company providing the Alchemite™ platform to accelerate R&D in chemicals, materials, and life sciences by extracting value from sparse and noisy experimental data. RankGlobal maps its primary capability to Predictive Analytics within Predictive Analytics, with supporting relevance to AI Platform Engineering, Data Engineering for AI. Its strongest supplied industry signals align with Aerospace Engineering & Systems, Pharmaceuticals, General Manufacturing.

See how this profile was mapped →
Primary AI category
Predictive Analytics
Strongest industry signal
Aerospace, Defense & Space
Engagement profile·$50K - $150K·10-25 employees·Service
Mapped capabilities · 2 categories
Technology

Platforms, methods and technical signals

Deep LearningAlchemite™Machine Learning

Tools and platforms named in Intellegens's supplied company profile.

Expertise

Named expertise on file

  • ML for Sparse & Noisy Data

    Delivering a unique machine learning algorithm (Alchemite™) designed specifically to extract value from incomplete and complex experimental datasets.

    AlchemiteR&DData Science
  • Advanced Experimental Design

    Engineering optimized R&D workflows that reduce the number of experiments required to develop new formulations or materials.

    Formulation DevExperimental DesignR&D
  • Predictive Modeling for Materials

    Utilizing deep learning to predict material properties and optimize chemical compositions in high-stakes manufacturing environments.

    Materials ScienceDeep LearningPredictive Modeling
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Intellegens, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
Predictive Analytics
Compared with
946 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
58th percentile of 946 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

Predictive Analytics among 946 published providers

Average rating4.80 · median 4.84
Mapped reviews18 · median 10
Profile completeness100% · median 100%
Taxonomy breadth14 · median 20
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
Predictive Analytics100%
MLOps & Infrastructure76%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
3 industries on the map
3
Healthcare & Life Sciences33%
Aerospace, Defense & Space33%
Manufacturing & Industrial33%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct21% · 3
Supported57% · 8
Adjacent21% · 3

Imported mapping grades across 14 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Intellegens presents as a strong evidence profile for Predictive Analytics. It ranks in the 58th percentile of 946 published providers in Predictive Analytics, and 18 reviews back the commercial profile.

Current positioning: P58 evidence quality · P18 industry breadth
Strongest signals
Evidence-backed strength in Predictive Analytics is the profile's clearest signal in the mapped taxonomy.
Best user fit
Aerospace, Defense & Space buyers evaluating Predictive Analytics at a $50K - $150K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
18
Reviews
4.8
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

6 mapped subindustries
Direct
Pharmaceuticals

Source industry: Life Sciences & Pharma

88% mapping confidence
Client feedback

What clients say.

Reviews and ratings published for this provider.

We could quickly drop a number of the ingredients, speeding up development

Yili

We identified a route requiring five times fewer experiments

Johnson Matthey

In total it gives us nearly 40% cost savings in manufacturing and testing

Voestalpine

What is nice is that it uses both chemical and experimental information

Genentech

We improved performance by 50% – and we were able to get there faster

FUCHS

Alchemite™ reduced the formulation timescale by months

Domino Printing Sciences

It expands the bandwidth of our data scientists to apply materials informatics

NASA

The project provided us with insights that help us to improve steel properties

OCAS (ArcelorMittal)
5
Revolutionizing Materials Science via Specialized Alchemite AI

Intellegens' Alchemite platform is a game-changer for materials science. It handles sparse data better than anything else.

Data Scientist

10 mapped reviews · 18 published quotes

Showing 9 of 18, ranked by display order then recency.

Rating distribution
5
10
4
0
3
0
2
0
1
0

Ratings aggregate 18 reviews at the average shown above.

Transparent profile intelligence

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.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used 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 →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Intellegens, and the three things worth confirming directly once you're in touch.

Primary category
Predictive Analytics
Primary industry
Aerospace, Defense & Space
Typical budget
$50K - $150K
Team size
10-25 employees
  1. 1
    Name the use case

    Say which Predictive Analytics problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $50K - $150K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Aerospace, Defense & Space — the strongest industry signal on this profile.

Enquire about Intellegens

Three fields. Anything longer belongs on the full contact page, linked below.