The Best AI Financial Assistants in 2026, Sorted by What They Actually Do

Hokai's directory now files 21 tools under the label "AI financial assistant", and a bookkeeping agent and a tenant-screening agent have almost nothing in common.

That is not a tagging error. It is what happens when a marketing phrase is stretched over four unrelated jobs: closing a company's books, researching a stock, picking a trade for tomorrow morning, and screening a rental applicant nobody at the leasing office has met.

A VP of Finance replacing a spreadsheet-based close, a hedge fund analyst covering 40 tickers, and a retail trader with $500 in a Kalshi account all type the same search phrase and land on the same results. Only one bucket applies to each of them. Picking from the wrong one costs a demo cycle, sometimes a procurement cycle, before anyone notices the mismatch.

Hokai chart of which AI financial assistant fits each buyer. Source: the vendors' own pages, checked 7 November 2026.

What changed since the 16 August 2026 edition

Re-checked on 7 November 2026, with every price read from the vendor's own page wherever a page could be read. The four-bucket framing holds. Five things moved.

• ProBors got more expensive and lost its lifetime deal. The AppSumo listing for ProBors now reads "Sold out!", and the plans page lists $75 a month at the regular price, $30 a month at a launch price, or $180 a year.
• Tenki is still not a product you can buy. Tenki is a waitlist with no price. The August edition quoted a $12 monthly price and a 76% accuracy figure for it. Neither appears on the vendor's site today, and its own FAQ says there is no track record yet, so both claims are removed.
• Two Dots renamed its agent and widened the job. Two Dots now calls it Evie, an "AI Approval Agent for multifamily" that carries a decision through to the lease.
• MiDash changed shape. MiDash now describes itself as "the conversational trading desk", and a banner seen on the site says it is at full capacity with new registrations closed.
• The back-office bucket got crowded. Three planning platforms Hokai added since August, Datarails, Pigment and Abacum, now sit beside the two original picks.

Campfire's own site timed out in both of the readers used for this review, so Campfire is carried forward from its August check and marked as such below.

How to choose a financial assistant: four questions first

Before comparing any two tools, answer four questions. Each routes you to a different bucket, and the criteria hold even if you ignore every product name below.

Who signs the contract? A controller or VP of Finance approving a line item points to back-office automation. A portfolio manager or CIO evaluating a research subscription points to investment research. Your own card on file for a monthly charge points to retail trading. If you never sign anything and a bank, card issuer or landlord licenses the tool for you, you are looking at embedded infrastructure.

Does a general ledger exist? Tools that read and write to a GL, ERP or accounting system solve a bookkeeping problem. Tools that read SEC filings, X posts or Kalshi order books solve a forecasting problem. The two rarely overlap in one product.

Are you buying analysis or a decision? Aleph and Campfire hand a finance team numbers to interpret. Tenki and TradeOS AI hand a retail trader a market to look at. That is a different product, not a difference in polish.

Do you ever see the interface? Spade and Two Dots run inside somebody else's product, at the moment a card gets swiped or a rental application gets submitted. Nobody outside a risk team logs in to either one.

The shortlist: one table, four buckets

The rest of this guide takes the buckets in that order and says where the evidence is thin.

The back-office bucket: teaching a ledger to explain its own numbers

Aleph and Campfire both sell finance teams a way out of hand-built spreadsheet models. Both are built for the same buyer: a controller or VP of Finance at a venture-backed company outgrowing QuickBooks or Xero.

Aleph keeps teams inside Excel or Google Sheets. Its homepage describes bi-directional spreadsheet add-ins, more than 150 no-code connectors across ERP, HRIS and CRM systems, and an AI Scan tool that flags variance between actuals and forecast.

Aleph's own Q4 2026 software comparison, last updated November 2026, now lists its time to value as "hours to days". The August edition quoted a 4 to 8 week implementation. The same table puts Anaplan at 3 to 6 months. These are Aleph's numbers about itself and its competitors, not an independent test. Its pricing URL returns a not-found page, so a quote starts with a demo.

Campfire skips the spreadsheet metaphor and replaces the general ledger outright, consolidating every legal entity and currency into one live view, with an Ember AI assistant that answers questions against live ledger data.

It raised a $65 million Series B in October 2025, co-led by Accel and Ribbit Capital, twelve weeks after a $35 million Series A, according to its own funding announcement. That announcement and the other Campfire detail here come from the 13 August check. On 7 November campfire.ai timed out in both Obscura and Chrome.

Three more planning platforms belong on the back-office list

• Datarails is the closest Aleph alternative for teams that plan in Excel. It sells three quote-only plans, Professional, Premium and Expert, capped at 2, 5 or 15 seats plus 50 viewers, with no free tier or trial listed (read 6 November).
• Pigment spans finance, headcount, sales and supply chain in one model. Its pricing page returns not-found, but a 14-day trial is open, which is more hands-on access than most of this bucket offers (read 6 November).
• Abacum targets mid-market teams between Series B and pre-IPO, with over $92 million raised and no self-serve trial. Hokai's Abacum alternatives guide goes deeper on this corner.

Smaller finance teams that only need cleaner books, not planning, should look at LiveFlow for live Sheets and Excel reporting, Truewind or Kick for AI bookkeeping, and Numeral for sales tax and VAT. None is a full rival to the picks above, so none takes a spot in them.

Aleph and Campfire are the real decision, and price won't settle it

Neither company publishes the number that would settle this, so the decision comes down to what already exists at your company. If your finance team lives in Excel or Sheets and the model itself is the asset worth protecting, Aleph's sync keeps that model intact while adding automation around it. If the spreadsheet model is the problem, Campfire's pitch is to stop building in spreadsheets and work against a live ledger.

Aleph reports a 4.9 out of 5 average on G2 in its own comparison table. That is a vendor quoting a rating about itself, so treat it as a reason to book a demo, not as a verdict. Campfire is three years old, so confirm its inventory, payroll and other niche modules against your own list before signing.

If you would rather get a shortlist than read five vendor sites, Hokai's Smart Match takes a few answers about your stack and returns tools that fit.

The research bucket sells conviction, not bookkeeping

Cohesion and Model ML both target professional investors, at opposite ends of the fund-size spectrum.

Cohesion runs AI agents that monitor the companies an equity fund covers and generates ideas from filings, earnings and other sources. Its Y Combinator profile, read on 7 November, lists a Spring 2026 batch, a team of 3, and a claim of being live with 10 or more long/short and long-only funds managing $10 billion or more combined. Access is by request only.

Model ML sells into banks, private equity firms and asset managers, with the pitch "Your Finance Agent. Wherever You Are." It announced a $75 million Series A in November 2025, led by FT Partners with Y Combinator, QED, 13Books, Latitude and LocalGlobe. Pricing is demo-only.

The August edition quoted a benchmark from Model ML's launch material that this review could not find again, so the figure is dropped.

A third name belongs here for private markets work. VectorShift builds purpose-made interfaces for data rooms, investment committee memos and LP reporting at private equity, venture and credit firms. It is quote-only and lists a team of about 30 on its YC profile (read 3 November).

Data handling, security and compliance: ask before you connect a ledger

Connecting a general ledger, a bank feed or a tenant file to a young company is a security decision first and a feature decision second. Ask every vendor on your list for the same four things in writing:

• The attestation it holds, by name and report date, not a badge on a homepage.
• Whether your data trains any model, and where that is written down.
• How long it keeps your data after you cancel.
• Which sub-processors touch it.

The evidence is uneven. Datarails is described in Hokai's record as holding SOC 2 Type II (read 6 November). Cohesion's footer links a Trust Center, but the page would not load its contents in a headless reader, so this review cannot say what it lists. For Aleph, Campfire, Model ML, Spade and Two Dots, this review did not find a compliance claim it could confirm on the homepage.

A missing badge is not proof of a missing audit. It is a question to put in your security review before the demo, not after it.

The retail-trading bucket sells you someone else's homework

Retail products here cost from nothing to $75 a month, and they are the only bucket where you can read a price before talking to anyone.

ProBors tracks Congressional stock disclosures, SEC Form 4 insider filings and large "whale" trades in one dashboard. Its regular monthly price is $75, and the launch price holds while a membership stays active. Both billing options include 700 AI credits a month plus a REST API and MCP server. The lifetime deals on AppSumo that the August edition recommended are sold out.

Credits are the catch. A heavy user who needs a second 700 credits pays $34.99 for them, which more than doubles the $30 launch price in that month. Estimate your real monthly credit use before you pick a plan, because the yearly plan carries a 14-day refund window, minus one monthly fee, and the monthly plan carries none.

TradingPulse takes the plainest-language approach, translating a daily read on crypto, metals and currency pairs into short narrative summaries. The lifetime plan pays for itself against Pro Monthly in about 25 months. It covers BTC, ETH, SOL, XRP and BNB, gold, silver and copper, and four currency pairs. Hokai's guide to what TradingPulse is for walks through who should pay.

TradeOS AI is the newer entrant worth knowing about. It watches more than 13,000 listed assets and alerts you by Telegram or Discord instead of trading for you. It is web only and names no AI models. Its prices come from the vendor pricing page as read on 13 October, so confirm them first.

Tenki and MiDash: two to treat with caution

MiDash turns a plain-language strategy into scans, alerts and trades through 9 brokers. This review could not confirm any price. The pricing URL returned a not-found shell carrying a banner that the platform is at full capacity and new registration is closed. If that still holds when you read this, it is a waitlist product in practice.

Tenki gets a flag instead of a recommendation. As of 7 November it is still a waitlist: "Launching soon", a free two-week trial promised at launch, 3 to 7 researched Kalshi and Polymarket picks a day, and no price. Its FAQ says plainly that there is no track record yet because it has not launched.

The earlier $12 and $10 monthly figures seen on other listings are not on the vendor's site, so do not budget against them. Hokai's Parcel Perform vs TradingPulse vs Tenki covers the same ground from a different angle.

The infrastructure bucket never asks you to sign up at all

Spade and Two Dots are the two entries a reader is least likely to click into, because neither sells to individuals.

Spade enriches raw card transactions into clean merchant names and locations, and its homepage now promises results in under 40 milliseconds, fast enough to sit inside a live authorization decision instead of an overnight batch. Its customer logos include Citizens, Cash App Pay, Motive and Cardless. No price is published.

Two Dots runs Evie, which it calls an AI approval agent for multifamily housing. Evie verifies a rental applicant's income, investigates fraud and makes the call in minutes, then follows the applicant through to the lease, according to the homepage read on 7 November. The August edition's claims about savings per fraud case and days saved per unit are not on the homepage and are dropped. No price is published here either.

Skip this whole category if you're a solo landlord or a retail budgeter

None of these tools is built for someone managing a personal budget or splitting rent with a roommate. Spade has no consumer product at all, only a backend API. Two Dots sells to property managers, so a landlord with one or two units has nothing to buy.

If you want a personal budgeting or bill-tracking assistant, this category will waste your afternoon. That is a separate, more consumer-facing market.

Sponsor spot open

What would change this verdict: where the bucket framing breaks

The obvious objection to sorting tools into four buckets is that some of them refuse to sit still. ProBors sells a retail subscription and, on that same plan, a REST API and MCP server aimed at developers building agents. That is a foot in both the retail-trading and the infrastructure bucket. Pigment pitches finance, sales and supply chain planning in one model, which blurs the line between back-office tooling and operations software.

The overlap is real, and it is the exception. Most tools here have one clear buyer and one clear job. Use the bucket that matches how you would actually pay for the tool, not the one that matches every feature on its list.

Three things would change the verdicts above. A Tenki launch with a public, graded record would move it from a flag to a pick. A published Campfire price list would make the Aleph decision a numbers question. And a vendor in the research bucket publishing an audit report would settle the question this review had to leave open.

What changes by 2027

The infrastructure bucket is the one to watch. Two Dots and Spade both point at a version of "AI financial assistant" nobody searches for by name: software that a bank, card network or property manager buys once, and that every one of their customers then uses without knowing its name.

The back-office bucket is moving the other way. Aleph now lists an agent and an MCP server, and Pigment lists six named agents. If that pattern holds, the next comparison in this bucket will be about which agent a finance team trusts with a close, not which spreadsheet add-in is nicer.

Frequently asked questions

What does "AI financial assistant" actually mean?

It is a marketing label, not one product category. In Hokai's directory it covers accounting and planning tools such as Aleph and Campfire, research agents for funds such as Cohesion and Model ML, retail trading subscriptions such as ProBors and TradingPulse, and infrastructure such as Spade and Two Dots that banks and landlords license directly.

Which AI financial assistant is best for a startup replacing spreadsheet-based FP&A?

Aleph and Campfire are the two most contested options. Aleph keeps Excel or Google Sheets models intact through a bi-directional sync, while Campfire replaces the general ledger outright. Datarails and Pigment are quote-only alternatives, and Pigment offers a 14-day trial. Budget for a sales-led demo before comparing real numbers.

How much do these tools cost?

Retail tools list prices: TradingPulse is $8 a month, TradeOS AI starts at $9, and ProBors is $30 a month at its launch price or $180 a year. Back-office and research platforms such as Aleph, Campfire, Datarails, Cohesion and Model ML publish no rate card and quote after a demo. Prices read 7 November 2026.

Can an individual consumer use any of these tools for personal budgeting?

Not really. None of the tools in this category is built for personal budgeting or bill-splitting. The closest a consumer gets is a retail trading subscription such as TradingPulse or TradeOS AI, and those assume the user is actively trading, not managing a household budget.

What is the safest way to compare two "AI financial assistants" that look similar?

Start with who signs the contract and whether a general ledger is involved, not with the feature list. A controller evaluating a ledger replacement and a fund analyst evaluating a research agent will never choose between the same two products, even when both appear under the same search term.

Covered in this guide

• Abacum: AI-native FP&A platform rated 4.7/5 on G2, used by mid-market finance teams to automate reporting, forecasting, and scenario planning.
• Aleph: AI-native FP&A platform that syncs ERP, CRM and HRIS data into live Excel and Sheets models, backed by Khosla Ventures and Y Combinator.
• Campfire: AI-native ERP for growth-stage finance teams with Ember agents, a Migration Agent and an MCP server, used by Replit, Decagon and PostHog, per the vendor.
• Cohesion: AI agent platform for public equity analysts at hedge funds, live with 10+ funds managing $10B+ AUM. Access is by request only, not self-serve signup.
• Datarails: Excel-friendly finance operating system with 600+ data connectors, AI agents and SOC 2 Type II, sold on three quote-only plans.
• Kick: Kick is an AI bookkeeping platform that automates categorization and reporting for 5,000+ business owners and their accountants.
• Liveflow: AI-native accounting platform used by 6,000+ businesses to sync QuickBooks and Xero into live Sheets and Excel reports, plus a new agentic ERP called Flow.
• Midash: Conversational AI trading platform that converts plain English or Arabic prompts into backtested, executable algorithmic strategies across stocks, crypto, and forex.
• Model ML: AI agent for banks, funds and consultancies that builds cited decks, models and diligence; it says it has raised over $100M and HSBC rolled it out globally.
• Numeral: AI-native sales tax and VAT/GST compliance with 9 native integrations, including Stripe and Shopify, plus free nexus monitoring.
• Pigment: AI planning platform for finance, sales and supply chain teams, with 6 named AI agents, an MCP server and a free trial.
• Probors: ProBors tracks U.S. Congress and SEC insider filings, adding signal scores, watchlists and alerts for individual investors.
• Spade: Spade enriches raw card, ACH and wire transactions into verified merchant records for banks and fintechs, and now sells predictions built on the same data.
• Tenki: Pre-launch research feed for Kalshi and Polymarket traders: a daily shortlist of markets where the price looks off, each with its evidence and reasoning.
• TradeOS AI: Plain-language trading agents that watch 13,000+ listed assets around the clock and alert you by Telegram, Discord or browser. Analysis only, no orders.
• Tradingpulse: AI-powered daily market briefs for crypto and forex traders covering BTC, ETH, Gold, and EUR/USD in plain language with no charts, no jargon. Free tier, Pro at $8/month.
• Truewind: AI accounting agent that turns bank statements into journal entries for QuickBooks Online and Sage Intacct; the vendor cites 500+ accountants.
• Two Dots: AI approval agent for multifamily that verifies income, investigates fraud and can send the lease; Two Dots says it runs on 1M units in 43 states.
• Vectorshift: AI operating system for private market investors: 5 purpose-built interfaces for data rooms, IC memos and LP reporting, with SOC 2 Type II.

Sources