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Value

Your company already knows the answer. Someone pays to find it again

The decision was made, the document exists, the conversation happened. It is just spread across drives, threads and people's heads, so the same context gets re-explained to every new hire, every supplier and every AI agent. Put a number on that.

Put your numbers in

The result is an estimate built from what you type, not a case study from someone else's company. Edit any field; the math recalculates on the spot.

How many would use the memory day to day.

Per person. Includes digging through old chats, drives and asking again.

Salary plus taxes divided by working hours.

New people who need the history to produce.

Ramp-up time per new person.

Annual cost of lost time

US$ 98,400.00

2,460 hours · per year

Searching and re-explaining for the current team
1,980 h
Ramp-up of new people
480 h

Recoverable value per year

US$ 49,200.00

1,230 h · Hours given back to the work

Premises of the math

  • Half the lost time comes back (factor 0.5). Not our measurement, not a contractual promise; it is the multiplier of the math.
  • Half a new person's ramp-up hours are searching for context that already exists in the company (factor 0.5).

Compare the recoverable value with the price published at [/pricing](/pricing). If it adds up, the conversation closes the scope — and the number you measured is on your side of the math.

Where the hours actually go

01

A question nobody can answer twice

TodaySomeone asks why the pricing changed last quarter. Two people get interrupted, one digs through Slack, and fifteen minutes later the answer is “I think it was because of the connector cost”.

With ValorBrainThe same question returns the decision, the date and the document it came from. If the person could not open that document, the answer does not quote it.

02

The first month of a new hire

TodayA new hire asks, in good faith, the questions the team answered last month. The senior person who knows the history becomes the bottleneck, and part of onboarding is oral tradition.

With ValorBrainThe new hire asks the company instead of the colleague. Decisions, handovers and product context are already there on day one, cited.

03

The mistake that repeats

TodayA path was tried two years ago and abandoned for a good reason. Nobody finds that reason, so the team tries it again and pays the same price.

With ValorBrainThe old attempt shows up next to the current question, with what was concluded and who concluded it.

04

The agent that starts from zero

TodayEvery agent session starts blank: context gets pasted into the prompt by hand, or it doesn't arrive. Switch models, redo the briefing.

With ValorBrainThe agent receives the current context before answering, with version and source. The memory does not depend on which model is in fashion this month.

Why the answer shows up at all

Everything above depends on finding the right evidence and using it well. On the internal benchmarks, the evidence reaches the top 10 for 96.58% of LoCoMo questions, and the 2026-08-23 BEAM-100K run answered 323 of 400 questions end-to-end. Method, run and limits are published. Internal retrieval benchmarks; not peer-reviewed and not end-to-end QA.

See the methodology

Start with one source

Connect a drive or a repo, let the hooks capture a week of real work, and ask the first question. The free plan asks for no card and does not expire.