Strategic Acquisition Brief · Confidential
MaxiFi is the deterministic engine that computes the provably correct lifetime financial plan — taxes, Social Security, longevity, lifetime consumption — the authoritative answer a probabilistic model cannot produce by sampling tokens. Perplexity routes a money question to MaxiFi the way it routes a reasoning question to Claude, and gets an answer it can cite, reproduce, and defend — whichever model wins underneath it. Built over 30 years by BU economist Laurence Kotlikoff.
On April 9, 2026, Perplexity expanded its Plaid integration — positioned as an AI “personal CFO” — linking checking, savings, credit cards, and loans alongside brokerage to compute net worth, budgets, and debt-payoff across 12,000+ institutions, for every signed-in US/Canada user. That is a move into personal financial planning, the exact surface where a confident-but-wrong number does the most harm.
Perplexity’s entire franchise is accuracy and citations — the “trustworthy answer engine.” On the one question households care about most — how much can I safely spend, and how do I make it last? — an answer that is confidently wrong is worse than no answer. The open question is the entire pitch: can the answer engine whose promise is correctness give correct financial answers at consumer scale?
MaxiFi resolves it — the validated, deterministic engine that produces the mathematically correct lifetime plan, computed and not generated. It is the substance an answer engine cannot manufacture on its own, and the answer Perplexity can stand behind.
Perplexity’s promise is sourced, verifiable, cited answers. The public record on its accuracy is uneven. Even the best-performing answer engine in the Columbia Journalism Review (Tow Center) study — Perplexity — still returned incorrect citations roughly 37% of the time, against more than 60% across the field. The category leader on citations still fails on facts. A separate academic study (arXiv 2410.22349) found frequent hallucination and inaccurate citation — with overconfident phrasing the authors described as “hallucinations wrapped in the veneer of legitimate citations.”
Two active SDNY suits put the pattern in the litigation record: Dow Jones & NY Post (News Corp), filed October 2024, and Encyclopaedia Britannica & Merriam-Webster, filed September 2025 — both alleging Perplexity attaches the plaintiffs’ real brands to hallucinated content. In the News Corp matter, plaintiffs say they put Perplexity on notice in a July 2024 letter before suing.
Perplexity is building toward personalized money insight while disclaiming that it provides personalized financial advice. A read-only net-worth dashboard is one thing; a confident answer to “can I retire?” is another. The disclaimer does not travel with the screenshot a user takes of the number — or with the decision they make on it.
This is not a Perplexity-specific enforcement claim — it is the sector direction. SEC Reg Best Interest and FINRA Rule 2111 (suitability) govern the substance of financial recommendations regardless of the interface that delivers them. The relevant analogy is the “on notice, then continued” posture already in Perplexity’s own litigation: once a party is on notice that an output can be wrong at scale, the “novel technology” defense narrows.
The threat is concrete and sober: wrong financial advice at consumer scale, after being on notice. At Perplexity’s reach, that is damages across the advised population, plus the reputational loss that compounds fastest for a company whose entire identity is correctness — “the AI you can’t trust with money.” The equity and franchise loss dwarfs the direct cost of any single wrong answer.
Most engines start from the aspirational question — “how much will you need?” — which manufactures a target number that is easy to state and hard to defend. MaxiFi alone starts from “what is the most I can spend with what I have?” — sustainable by construction. It is the question a household actually has, and the only framing that yields an answer an answer engine can stand behind.
MaxiFi is the financial-planning platform of Economic Security Planning, Inc., built over more than three decades by Professor Laurence Kotlikoff of Boston University. It uses consumption smoothing and dynamic programming to compute the single, mathematically optimal lifetime plan — solving simultaneously across Social Security strategy, Roth-conversion sequencing, withdrawal order, and the full tax code.
Goals-based tools answer “What is the chance you hit your number?” MaxiFi answers “What is the optimal path, and how much can I spend today without jeopardizing tomorrow?” It is not a better simulator. It is a different class of engine — the deterministic, computed answer Perplexity can route to and cite.
Prof. Laurence Kotlikoff — William Fairfield Warren Professor at Boston University; Harvard Ph.D.; former Senior Economist on the President’s Council of Economic Advisers; named by The Economist among the 25 most influential economists. He intends to keep contributing to the product, help integrate, and stay on as spokesperson.
Taught by Nobel Laureate Robert Merton at MIT Sloan as an “outstanding science-based lifecycle and retirement management platform” — Merton does not endorse products; he teaches MaxiFi as the reference engine. Featured in Bankrate’s “Best financial planning software of 2025” roundup (May 5, 2025), cited as best for near- and long-term tax planning and the decumulation phase.
Patented algorithms refined over 30+ years, built from economic theory rather than scraped text — exactly the kind of intellectual property a probabilistic model cannot reverse-engineer by sampling tokens.
MaxiFi is already in the wealth-advisor channel via its Pro subscription — fee-only planners use it as top-of-funnel lure and client-retention glue. The acquirer inherits a paying installed base that extends naturally to Perplexity’s consumer reach.
Perplexity is not a model trainer — it is the distribution and answer layer. It is explicitly model-agnostic, routing between its own Sonar models and third-party frontier models, Anthropic Claude and OpenAI GPT. So the integration thesis is not “train the weights.” It is simpler and more durable: own the computed-correctness layer you route to and can stand behind.
Perplexity already decides which engine answers which intent — the smallest model that gives the best experience. A money question is a different kind of intent: it needs a computed answer, not a sampled one. MaxiFi is the engine Perplexity routes that intent to — and gets back an answer it can cite, reproduce, and defend.
Perplexity sits downstream of both Anthropic and OpenAI. Acquiring the correct-answer engine is the same bet regardless of which lab wins the model layer underneath — and it is a capability neither of its model suppliers can withhold from it. Owned, not licensed, it is the one finance capability that is durable across every shift in the frontier.
The result is cybersecurity-style assurance: Perplexity can tell its users, its publishers, and its investors that money answers are computed, verifiable, and reproducible — the same way a security vendor lets its customers stand behind what it ships.
The neutral national-press datapoint is the cleanest: CBS MoneyWatch (May 7, 2026) ran an identical retirement prompt — a 50-year-old single woman retiring at 65 — through Claude, ChatGPT, and Perplexity. The verdicts diverged and Perplexity was the most pessimistic. Larry’s Economics Matters Substack — 137,000+ subscribers — has run a six-post sequence testing named engines against MaxiFi on dollar-specific household problems. The variance across engines on one identical prompt is the proof.
“Asked whether a 50-year-old single woman could retire at 65, Claude, ChatGPT, and Perplexity diverged — Perplexity the most pessimistic. Kotlikoff: AI ‘may do more harm than good,’ mishandling Social Security and wrongly averaging longevity instead of using maximum life expectancy.”
The divergent-verdict story →“The AI said John and Jane can spend approximately $52,000 per year in discretionary spending. MaxiFi’s demonstrably correct answer — verifiable by inspecting its reports — is $63,382.”
Read the head-to-head →“AI’s best hope of providing accurate economics-based planning is by serving as a front end guiding data entry and using MaxiFi as the back end to produce precisely correct, not clearly pretend, results.”
Read the structural argument →“The median household leaves $182,370 of lifetime Social Security on the table. AI tells Jane a job change adds at most $35K in lifetime benefits when the right answer is $168K.”
Read the Social Security test →Acquiring MaxiFi acquires the megaphone these pieces ship from — pointed, with credibility no one in the category can match, at the consumer-finance surface Perplexity just opened. Larry intends to keep contributing to the product and to stay on as spokesperson, turning a category critic into Perplexity’s correctness narrator. The CBS divergent-verdict finding is the named, neutral proof; the Substack series is the dated, dollar-specific record behind it.
The April-9 launch turned net worth and budgets into a consumer product. MaxiFi converts a plausible-sounding dashboard into a computed, correct lifetime plan — the substance behind the feature you already shipped.
Your brand is correctness; you have a documented, litigated accuracy record; you just entered the domain where a confident-wrong number does the most harm. MaxiFi lets you assure users of computed, verifiable, reproducible money answers — cybersecurity-style assurance, not a better disclaimer.
Perplexity sits downstream of both Anthropic and OpenAI. The correct-answer engine is the same bet whoever wins the model layer — and the one finance capability your model suppliers cannot revoke. Owned, not licensed.
MaxiFi alone starts from “the most I can spend with what I have” — sustainable by construction — rather than the aspirational “how much will you need” that manufactures the wrong, litigable number. It is the answer an answer engine can defend.
There is one MaxiFi. If it lands at a model lab, a wealth platform, or a fintech, Perplexity’s claim to a defensible finance answer weakens permanently. The most defensible single piece of AI-FS infrastructure should not be owned by a company you route to.
A 30-minute briefing with a live demonstration: MaxiFi solves a household’s lifetime plan while the engines Perplexity itself routes to are asked to match it. The gap is the entire thesis.
MaxiFi is being offered through a focused strategic process. The preference is an acquisition — that is where the strategic value sits. Founder continuity de-risks it: Larry Kotlikoff intends to keep contributing to the product, help integrate, and stay on as spokesperson. The integration path is short, and the strategic payoff — product integrity, a model-agnostic moat, and competitive denial — is immediate.