TRUE is digital-asset infrastructure and a platform for tokenised finance: crypto, stocks, commodities, metals and FX. Fully on-chain, powered by Solana.
Built with and by AI, operated by 4 people and +400 AI tools.
★★★★★4.8on both stores
19,025registered accounts
$8.3Mrun-rate, best month
+$160koperating result, September
Recorded in the live app · September 2026 figures, unaudited
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Our mission · autonomous finance for everyone
We are the AI and we are the platform.
AI, trained over 1.5 years for one purpose: autonomous investing. An integration powerhouse. 100+ integrations into the world's best data providers, chains and infrastructure, fused into one engine.
Non-custodialFully on-chainSecure
The venue
Our own exchange, order book and matching engine
The wallet
One account, eleven chains, keys with the user
The intelligence
Our own LLM, agents that execute
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Where we are · 2025 and 2026 actuals, unaudited
Shortly after launch, TRUE is already profitable.
Two years of building, then four quarters of revenue. Q3 2026 brought $1.52M of revenue and $141k of operating profit, our first profitable quarter, and September was the best month at $160k.
RevenueOperating profitLossDashed = quarter in progress
10×revenue growth, June to September
$8.3Mrun-rate, best month annualised
$160koperating profit, September
$1B+transacted since launch
19kaccounts · 5.6k monthly active
86%margin before growth spend
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The total addressable market is in the trillions.
Two things are happening at once, and TRUE sits where they meet.
The lane is opening
Trillion-dollar companies are betting on personal assistants.
dots · OpenAIMuse · MetaInstinct · $1B at $10B
OpenAI and Meta are building the assistant for everyday life.
Instinct raised $1B at a $10B valuation for the general assistant.
TRUE AI covers the financial lane. We own the entire value chain. They do not.
The financial market is going on-chain
Two curves, both pointing the same way.
Tokenised assets on-chain~$2T50×by 2030, from $38.6B on 1 October 2026
The market for AI agents$52.6B10×by 2030, from $5.2B in 2024
Tokenised assets on-chain are projected to grow about fifty times by 2030, and the market for AI agents about tenfold over the same period. TRUE sits where the two meet: an AI that can act, on a venue that settles on-chain.
Third-party figures, public and current to October 2026. Tokenisation from Citi Institute and RWA.xyz.
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Founders and team
A founder who has done it before.
Ben Bilski
Founder & CEO, TRUE Labs
Built NAGA from zero to IPO on the Frankfurt Stock Exchange in 2017, scaling it to $70M of revenue, 400+ employees and a ~$400M market cap
$150M+ raised throughout his career, and 17+ years as an entrepreneur since his first business in 2008
8+ years as CEO of NAGA, operating a regulated financial institution with four licences and complex trading infrastructure
Former professional swimmer: World Games medallist, multiple German champion and national team member
“I built and scaled the infrastructure of the last fintech generation. Now we are building the intelligence layer for the next.”
The efficiency advantage
At least 18 months ahead. Faster than anyone in the industry.
Team headcount
AI tools running TRUE
Others talk about how AI drives efficiency. We did it day one. More than 800 releases a week. Lightning-fast integrations. Only $85k a month (8× cheaper than peers). We cut the team from 55 to 4 while AI took over the core functions, and 14 internal tools became 400.
Headcount from payroll · tool count from the registration calls in the production MCP servers at each month end · ship rate measured on the production branch, 5 to 12 October 2026
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User base and retention · measured on the on-chain fee ledger
98.3% of revenue comes from repeat traders. Our customers stay, and they trade more.
Registered accounts, cumulative
19,025 at the end of September · +1,506 in the month
Monthly actives, authenticated
5,622 in September · a record · from 75,254 visitors
71.1%
of August’s fee payers paid again in September SEP
$3,185
average monthly fees per core trader
$110
revenue per monthly active — $17 in June SEP
Why they stay
🧠
The AI angle
Our own finance-trained AI sits inside every flow — research, trades, predictions — so the product gets smarter the more they use it.
⚡
Support that answers in 34 seconds
Kira, our own agent, answers 92.3% of tickets with no human in the loop — median first reply 34 seconds, around the clock.
🚀
Innovation cadence
A new reason to come back every month — the DEX, copy trading, agents, and the TRUE Card in October.
Retention is improving with product age, not decaying.
All figures re-derived from the on-chain fee ledger for 1–30 September 2026.
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Marketing
Every channel is measured on the fees it produces.
60%
Partnerships and affiliates
Already 78% of revenue, paid as a share of fees already earned.
30%
Direct acquisition
Meta, TikTok, X and direct campaigns, scored on the fees they produce.
10%
Brand and above the line
The smallest share on purpose. Brand follows proof, it does not buy it.
The seven channels, live from 13 October
Partners and KOLsPaid from the fees they generate, weekly, in USDC
MetaScored on fees produced, not installs
TikTokCreator-led, our cheapest first reach
XWhere the crypto-native buyer already is
Direct and CRMFired against the fee ledger, not a static list
Brand ambassadorsLonger agreements, not a single post
MIDAS contentReal voice sessions, not a scripted demo
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Earnings model
A clear income model, priced per trade.
Every dollar of activity monetises in the same account. All rates are live from the platform.
● Perps · live
Perpetuals
0.065%taker
On-chain perps with taker and maker fees plus a funding-rate spread. Live since 4 August 2026, and 98% of September fees.
Taker0.065%
Maker0.02%
Funding-rate spreadancillary
● Swaps · live
Spot swap fee
0.71–1.19%/ trade
Volume-tiered on every spot swap. Blended 0.86% across $59.2M of on-chain volume to date.
Volatile pairs1.19% → 0.71%
Stablecoin pairs~0.50%
Revenue share to partners10–30%
● Prediction · live
Prediction markets
3fee layers
Bridge in, place the bet, share the winnings, stacked on Polymarket liquidity at 0% builder fee.
Bridge into predict wallet0.50%
Placing fee2.0% → 1.19%
Profit fee, on wins5.0%
What a trading customer is actually worthMeasured from the fee ledger, not modelled from a rate card
Fees per core trader
$3,185/mo
8+ trading days in the month
Revenue per monthly active
$110
$17 → $51 → $145 → $110 across June to September
Revenue from repeat traders
98.3%
the figure recurs, it is not one-off
Core traders are 38.5% of active traders and generate 92.6% of fees. Stated gross; the 10 to 30% partner revenue share is paid out of fees already earned and sits below gross profit.
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Competition
On-chain venues are cash cows. Combined with personal AI, supergrowth is a given.
Fees per day against valuation
Venue
Founded
Fees / day
Valuation
Hyperliquid
2022
$2.99M
$19.0B
Lighter
2022
$0.19M
~$1.5B
Aster
2021
$0.17M
$1.9B
FOMO
2024
$0.83M
~$1.5B
TRUE
Dec 2024
$0.02M
$250M
Peer fees and valuations from public sources, October 2026; fees are the trailing 30-day average. FOMO is shown at an indicated current-round valuation, its last priced round was $550M in June 2026. TRUE at the $250M the current round is priced at.
We take it one step further
We own the venue and the native AI intelligence layer.
Personal AI assistant market
$3.4B in 2025 to $19.6B by 2030, 41.9% a year. The Business Research Company, September 2026.
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The round
Series A — $25M to scale.
Acceleration from a position of strength, not survival. Nearly half of it is working capital on our own book, carried as an asset rather than expensed.
Raising now · Series A · $25M at ~$250M
$8.5M raised to date
last round May 2026 at ~$100M, pre-revenue
The funding plan · valuation to $10B+
Valuations shown are management targets for the plan, not agreed terms.
The plan · revenue to $1B a year
RevenueOperating profit
$1B of revenue a year puts TRUE at a $10B+ valuation on the multiples this sector already trades at.
$12M on our own book
Deeper liquidity, tighter spreads and more of every trade captured as fees.
$8M into paid acquisition
Attribution has been live since 9 October, so every channel is scored on the fees it produces.
$5M into product, licensing and runway
More markets and more licences, carried by the same four people.
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The broader vision · TRUE Labs research
Every lab is buying data. We produce it.
The frontier labs are spending on compute and buying their training data from the outside. Data is the scarce input, and the kind that matters cannot be scraped. We generate it in production every day, from three streams that exist together nowhere else.
01
A conversation, not a screen
Voice in, answer out. The interface itself converts better, so signups rise, acquisition cost falls and people come back more often.
Every sentence is captured in natural language and time-stamped against the market at that second, so we can correlate what a user asked with what the market then did.
02
The exchange is ours
Our own order book, our own matching engine, our own settlement, fully on-chain.
Every order, fill, position and liquidation is a labelled outcome we own outright. No general model has this, and no lab can buy it from a venue that does not sell it.
03
We know the person
Knowledge level, risk appetite, balance, the questions they ask and how they behave when a position moves.
Joined to their trades, their results, live market data and the news that moved it. A profile, not a cookie.
What the three become together
Intent, action and outcome on one timeline.
What a person believed, what they did about it, and what the market paid them for it. That is the training set for predictive finance, and it compounds every month the product runs.
What the market pays for a vertical AI company
$15.5B
Harvey, legal
$11B
ElevenLabs, voice
$5.6B
Legora, legal
None of them owns the transactions behind the advice it gives. In finance, we do.
TRUE already runs inside ChatGPT and Claude as a connector.
After the Series A
TRUE Labs becomes a research team.
STEP 01
Turn the live product into a clean, labelled dataset.
STEP 02
Train our own finance model on it, behind MIDAS and the agents.
STEP 03
License the intelligence layer to institutions that cannot build it.
Valuations as last publicly reported: Harvey $15.5B, September 2026 · ElevenLabs $11B, Series D · Legora $5.55B, March 2026.
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📱
Turn your phone sideways
The deck is built for a wide screen. Rotate to read it full size — or take the PDF.
★★★★★4.8on both stores
