The secure decision layer for pharma intelligence

Turn evidence into a strategic advantage.

Live data is only the beginning. Comphas brings trusted clinical-trial sources, your own company knowledge, visual decision tools and secure collaboration together, so teams move from evidence to a strategic call without losing context.

Trusted dataVisual decision toolsSecure by design
Bullseye · Active industry GI trialsReal data
  • Ulcerative colitis8628 in P3
  • Crohn's disease5327 in P3
  • UC and Crohn's188 in P3
  • Eosinophilic GI73 in P3
  • Celiac disease50 in P3

ClinicalTrials.gov, pulled 11 Sep 2026. Interventional, industry lead sponsor, Phase 1–3, recruiting, not yet recruiting, active or by invitation (n = 169). Multi-phase trials placed at the highest phase. Dot positions within a band are for display.

Search Enrich Compare Visualize Discuss Decide

Search: query FDA and EMA clinical-trial data live, without exporting and cleaning.

58
data connectors
10
trial registries
100
ranked use cases
91
chart types
10+
years of pharma BI · US, EU, Japan
Try it now

Ask the registry. Get a chart.

Type a question about clinical trials. AI reads it into filters you can see; the counts come straight from ClinicalTrials.gov, with the source and date on the chart.

It answers what the registry can answer. For anything more, such as your own data next to the field, frozen evidence and decision rooms, that's what Comphas is for.

Ask the registryAI-assisted

AI reads your question into filters; every number comes straight from the ClinicalTrials.gov API. Don't enter personal or confidential information.

Why competitive intelligence fails today

Landscape work is right on the day and indefensible three months later.

Nobody can say what was counted, on what date, from which source, or by whom. It is a commercial problem before it is a compliance one.

The registry has moved.

New starts, status changes and results since the analysis was made.

The query can't be reproduced.

Nobody wrote down the filters behind the count.

The numbers no longer match.

The count on slide 6 disagrees with the source.

The author has left.

The reasoning left with them.

$55,716

Direct cost of every day a Phase 3 decision waits. A portfolio call is only as good as your ability to say, under challenge, what the landscape was.

Tufts Center for the Study of Drug Development (Smith, DiMasi & Getz), cost-of-a-delay-day estimates, 2024, in 2023 USD.

The Comphas turn

Make the freeze explicit. The moment an analysis becomes a deliverable, the data behind it stops moving: deliberately, visibly, and with a record of when and from where.

Primary and secondary intelligence

Secondary sources direct the search. Primary sources decide.

Registries, labels and filings are fast, broad and auditable, and they repeat what competitors chose to publish. Intent, capacity and timing live with people. Comphas runs the record so your team knows where to spend its scarce conversations, and holds what they bring back to the same standard of evidence.

The Comphas loopIn the product

The record aims the primary effort; the primary effort decides

01 · THE RECORD MOVESComphas flags itA watched trial, label orfiling changes02 · COMPHAS AIMSTargets and questionsCentres, people, sessionsand what to ask each03 · YOUR TEAM ASKSConversationsSites, congresses, boards,within the rules04 · CAPTURED48-hour debriefLogged against topics:who said what to whom05 · GRADEDConfirmed or notSource reliability, itemcredibility, 3 confirmations06 · DECIDEDInto the decision caseOnly confirmed findings;the record keeps both honest
Two kinds of sourceMethod

Secondary sources direct the search. Primary sources decide.

Primary sourcesDecide
Secondary sourcesDirect the search
What it is
People and first-hand observation: treating physicians and KOLs, centre staff, investigators and coordinators, payers, patient groups, and what your own field teams see at sites.
The record: registries, labels and regulatory documents, HTA dossiers, filings, congress abstracts, publications, press and the databases that aggregate them.
Strength
Intent, preference, capacity and timing: what the record does not say.
Breadth, speed, auditability and cost.
Weakness
Scarce, filtered, open to deception, with compliance exposure.
Lagging, incomplete, and it repeats what competitors chose to publish.
The rule
Multithread: three independent confirmations before a finding reaches a decision.
Only as valuable as the primary confirmation attached to it.
Role of AI
Aim it: choose the questions, the people and the moment.
Run it: aggregate, refresh, flag, forecast.

One conversation is an anecdote; three independent ones are a finding. Comphas plans congress coverage and contact questions, captures the 48-hour debrief, grades every source and item, and lets only confirmed findings into a decision case.

Aim the primary effort
Real questions, real data

What a GI team learns in minutes.

Three key questions, answered on ClinicalTrials.gov data pulled on 11 September 2026. Every exhibit states its slice, its date and its source.

Early warning · EoEReal data

7 of 10 active EoE trials reach primary completion in 2026

ClinicalTrials.gov API v2, pulled 17 Oct 2026: active interventional Phase 1–3 trials in eosinophilic esophagitis, all sponsor classes (n = 10), ordered by primary completion. ✓ = actual date, est. = estimated; a red outline marks an estimate not verified in over a year. Scroll sideways on small screens.

Opportunity detection · Crohn'sPhase 2–3

Germany pairs deep Crohn's experience with light competition

Germany
2.3
United States
3.1
France
3.1
Belgium
3.5
Spain
4.2
Poland
4.3
Japan
4.6
China
20.0

Competing (recruiting) trials per 10 completed. Industry-sponsored interventional Phase 2–3 Crohn's disease trials with at least one site in the country; a multinational trial counts in every country it runs in. A registry proxy for experience and competition, not a feasibility survey.

The read: shortlist Germany first. Crowding in the bullseye above is real too: 63 of the 157 IBD trials are already in Phase 3, while celiac disease has five trials and none in Phase 3. That's an opportunity to qualify, not yet white space.

Explore the use-case library
Chart library

Every question gets the chart that fits it.

Comphas carries 91 chart types in seven families: landscapes and timelines, comparisons, flows, networks, geography, analyst methods and more. Each one comes with a rule for when to use it, and is matched to the use cases it answers.

Crowding reads best as a heatmap. Concentration reads best as a Pareto. Status mix fits a donut, until there are more than four slices.

Explore the chart library
HeatmapReal data

Lupus crowds Phase 1; psoriasis crowds Phase 3

ClinicalTrials.gov API, pulled 16 Oct 2026. Active, interventional, industry lead sponsor. A trial listing several conditions or phases counts in each cell.

ParetoReal data

Eight sponsors hold 20.4% of 186 oncology Phase 3 trials

Comphas oncology Phase 3 board, ClinicalTrials.gov as of 11 Sep 2026. Bars: trials per sponsor; line: cumulative share. Sponsors anonymised; "Other" groups 121 sponsors.

SankeyReal data

Industry runs 245 of 278 Phase 3 atopic dermatitis trials; 23 of those stopped

ClinicalTrials.gov API, pulled 16 Oct 2026: interventional Phase 3 atopic dermatitis trials, all years. Stopped = terminated, withdrawn or suspended.

Tile mapReal data

China hosts 28 of 48 recruiting industry atopic dermatitis trials

ClinicalTrials.gov API, pulled 16 Oct 2026: recruiting, interventional, industry, Phase 2–3 (n = 48). A multinational trial counts in every country with a site.

DonutReal data

Recruiting: 118 of 186 oncology Phase 3 trials (63%)

Comphas oncology Phase 3 board, ClinicalTrials.gov as of 11 Sep 2026. Two slices only: a donut stops at four.

KPI panelReal data

Obesity GLP-1: a quarter of the slice is late-stage

40
Trials
10
Late-stage
10
Recruiting
1
Stopped

Comphas medical affairs obesity GLP-1 board (40-trial slice), as of 11 Sep 2026. Late-stage = Phase 3 + Phase 4, including Phase 2/3. Stopped = terminated + withdrawn.

Evidence you can defend

Live while you explore. Frozen when you decide.

Saving a chart freezes its dataset. Shipping a pack freezes every dataset on the board. Frozen data is never overwritten, not by a user and not by the nightly refresh.

What was counted, on what date, from which source: answered by the product, not by memory.

How Comphas makes numbers defensible
Phase 3 programmes by indicationLIVE SLICE
Board · GI landscape
Ulcerative colitis
Crohn's disease
UC and Crohn's
Eosinophilic GI
Ship pack FROZEN · 2026-09-11
n = 169 · ClinicalTrials.govas of 2026-09-11 · recipe CO-01

Phase 3 counts as of 11 Sep 2026. The live movement before the freeze is illustrative.

Discuss and decide

Evidence, discussion and decision stay together.

Secure rooms and chats are private spaces for strategy, go/no-go calls and confidential input. The views sit in the room with the people deciding.

A decision case freezes what the board showed on the day, and the audit log records who queried, exported or froze what.

Security and deployment
Room · Indication strategyPrivate room

Illustrative conversation.

AI, governed

AI proposes. The analyst decides. Comphas records.

Registry data is noisy: one sponsor under a dozen spellings, conditions in free text, missing mechanisms of action. Comphas uses AI to suggest the clean-up, the right chart and a draft reading of it.

Every suggestion is a proposal with a confidence score, checked against reference vocabularies, approved by an analyst and logged. Nothing changes the evidence silently.

How AI works in Comphas
Enrichment proposalsIllustrative
"Sponsor A Research & Dev."→Sponsor Aconfidence 0.97ACCEPTED
"UC, moderate-severe"→Colitis, UlcerativeMeSH matchACCEPTED
"compound XY-123"→No reference matchleft for the analystFLAGGED
Rule set v3→Logged in audit trailreplays on next refreshRECORDED

Illustrative example of the workflow with sample data.

Where Comphas fits

Keep the tools you run. Add the place where you make the call.

Power BI, Tableau, Veeva, Cortellis and IQVIA show what the field is doing. Comphas sits on top as the decision layer.

See how it fits your stack

Prove it on one live programme.

Eight weeks, one programme, success criteria agreed up front.

Plan a pilot