Wisdom and intelligence from everywhere
PansophIQ is a new way to know. Our AI systems gather information from everywhere, read it, interview the people who know and model what happens next, so any question comes back answered the same day, every figure traced to its source.
Runs in your browser, on your desktop and inside the AI assistant you already use.
Who we serve
Pick your team to see what you can know now.
Know which campaign wins before the media money is spent, and whose share it will take.
Answer “what happens if”, not just “what happened”, with models built on your data.
Know what the seller won’t tell you, from the target’s own customers and its data room, before you sign.
Find what wins the matter, the contradiction, the gap, the failed redaction, before the other side does.
Be the team with the answer in the room: every voice at depth, every market at once, a simulator run live.
Hear physicians and patients by the hundred in every market, within pharma rules, and know the price payers will accept.
Hear what people really think, in every language, before they leave or the reorganization stalls.
Know what to build and what to charge for it, before you build it.
Learn why you really lose deals and customers, from the buyers themselves, and fix it this quarter.
Fund the right bets: every asset valued with its uncertainty, and the lever that moves the outcome.
Know what people really think and what would move them, from depth interviews and every public comment.
Bring the question. We put together the capabilities it needs.
Capabilities
One engine, not sixteen products. Your question decides which ones run, and every model is checked against known answers before it is trusted.
Decide and invest
Portfolio ValuationThe risk-adjusted value of every bet, updated as evidence arrives. Due DiligenceThe whole data room read and cross-checked; every gap found. Decision ModelingThe lever that moves the outcome, and the unknown worth resolving. Performance DiagnosticsWhy the number moved, and what moves it back.Win the market
Strategy WargamingForecast every move and countermove before you commit. Price OptimizationThe price and lineup that win without leaving money behind. Customer IntelligenceHundreds of depth interviews in a day: the why, counted. Demand ForecastingHow many will buy, in every segment and market, before you build or launch.Protect the organization
Litigation AnalyticsEvery page of the record read; each contradiction pinned to its page. Evidentiary RecordsDocuments and an audit trail built to hold up in court. Adverse Event DetectionEvery patient conversation screened; reports routed on time. Claims SubstantiationEvery claim you make, matched to its evidence before a regulator or rival asks.Move faster
Autonomous SellingEvery lead answered and qualified; the ready ones closed. Innovation ScreeningHundreds of ideas tested head to head; the winners ranked. Institutional MemoryYour own AI answers from everything you have learned, with sources. Knowledge RecoveryAnswers already in work you paid for, found and put to use.How it works
Here is one brief, start to finish.
The brief
“Which price and product line earn the most, where does the share come from, and what is at risk?”
Answered by Customer Intelligence · Strategy Wargaming · Price Optimization · Portfolio Valuation
01
Documents, data, markets and the people who know.
Sales and cost data, rival prices and lineups, interviews with buyers.
02
Everything read, heard and connected to its source.
What drives choice: who would switch, to what, and why.
03
Every option simulated thousands of times.
Share, source of share and rivals’ replies for every price and lineup.
04
The best choice within every constraint.
The price and product line that earn the most, within capacity and channel limits.
05
The answer, its range and its risks.
Expected earnings, credible range and the odds of falling short.
One shared record
Every capability reads from it and writes to it, so the next question starts from everything already known.
You see what the recommended price and line earn, how widely the outcomes run, and what you can count on if things go badly.
Original planRecommended price and line
What comes back · illustrative figures
Gain over plan
+$94M a year
Expected annual earnings of $412M, against a plan of $318M.
90% credible range
$365M–$459M
Nine chances in ten the year’s earnings land inside it.
95% chance of at least
+$47M a year
More than the original plan earns.
Incremental share
+4.1 points
New volume: 22% cannibalized, 63% won from other brands, 15% new to the category.
Rival reply, priced in
Rivals discount harder
Their most likely answer, about 6% deeper discounts, is in every figure here.
Scenarios weighed
2.4 million
Every price and lineup, tested against every likely market response.
Every model is first checked against real choices it never saw; figures are reported only once it predicts them.
Worked problems
Put the problem the way you would to a colleague, and a plan comes back. Pick a problem you have.
Before you close: the data room read and cross-checked, the target’s customers interviewed, their pricing power measured and the deal valued with its odds.
From the next lead on: every lead answered and qualified at once, the ready ones closed and the reasons the rest said no fed back.
Before the board meets: past work recovered, the customers worth winning heard and sized across the market, and each path priced and valued.
Before you launch: every concept screened, buyers interviewed, the price and lineup optimized and both rivals’ replies played out.
Before the next deposition: every page read, each contradiction pinned to its source, the record made court-ready and settlement weighed against trial.
Before the label decision: every patient interviewed in their own language, every conversation screened for adverse events as it is spoken, each report routed on time with its record, and what patients need, counted.
Before you commit: past work recovered, prescribers and payers heard, every asset valued with its odds and the four that earn the most chosen.
Starting today: their launch and every reply of yours played out, the customers at risk heard, and the reply that holds share at the least cost priced.
Regulated work
Pharma, legal and finance work runs here under its own rules, with the record to prove it.
01
Material travels only over encrypted connections. Interview recordings, clips, sensitive answers and exports are encrypted at rest with a separate key for each client, and a sealed project goes only to model hosts inside your own region.
02
Choose per project which models, clouds and people may touch the material: ours, your own, or nothing outside your walls.
03
Models come from providers that do not train on what you share, your contract can bar every other, and a project can run on model accounts you hold, under your own terms.
04
Documents hashed on arrival, every step on a chain-hashed audit trail, privileged material kept from any model that should not see it.
05
Electronic records and signatures built for 21 CFR Part 11, with validation documents for your quality team.
06
Possible adverse events are caught as they are said and handed to your safety team on time.
07
Each client’s work is isolated in its own space and never pooled with another’s.
08
Single sign-on, roles set by your administrators, and a log of every view and export, streamed to your own systems.
09
Retention, legal holds and deletion follow your policy, with a certificate when material is destroyed.
The value of information
Information is worth what it changes. Most of what you could know used to cost too much, or arrive too late, to change anything. Now every source, every voice and every market is a question away, and the answer lands in time to change the call.
Advantage compounds. Every week a rival answers what you are still guessing, they place better bets, and the gap widens.
Them, with it
You, without it
Launch
They tested every message on Monday and ran the winner on Tuesday.
You are still briefing the agency.
Litigation
They found the contradiction in the record by morning.
Your team is still on the first boxes.
Deal
They knew which customers would leave before they bid.
You learn it after closing.
Pricing
They moved the day a rival did, knowing what share it would cost.
You wait for next quarter’s numbers.
Portfolio
They cut the losing program the week the data read out.
You fund it another year.
Demand
They knew how many would buy before they built it.
You find out at launch.
How it starts
No program to fund and wait on. It runs today, for every team on this page, and fits in beside whatever you are already building.
Wisdom and intelligence from everywhere.