Exponentially.ai vs Olakai: 2026 comparison

The core difference: measuring spend vs governing the bet

Olakai answers “what are our AI tools costing and returning?” It connects to your coding agents, copilots, and autonomous agents, normalises usage into one view, and reports ROI, waste, and shadow AI, down to the token. That is powerful once tools are deployed and the spend is already flowing.

Exponentially.ai answers a question that comes earlier: “which AI bet is worth funding at all?” Measuring the ROI of a tool you already bought does not stop you from funding the next low-value build. When 95% of enterprise generative-AI pilots show no measurable P&L impact, the expensive failure is the decision to build, before any usage telemetry exists.

Olakai key strengths

Within AI spend and ROI measurement, Olakai is sharp. Concede this clearly:

• Spend visibility: one inventory of every copilot, coding agent, and autonomous agent, by developer, model, and project.
• Token-level cost control: budgets, alerts, and forecasts before usage-based bills overrun.
• ROI on deployed tools: before-and-after productivity measured across the AI stack, translated into dollars.
• Shadow-AI and risk surfacing: unapproved tools and sensitive data in prompts flagged across the estate.

Exponentially.ai key strengths

Exponentially.ai covers the adjacent surface Olakai does not: the decision to fund a bet before any usage exists to measure.

• Investment governance: every live and proposed AI bet scored on one page for value, evidence, adoption, risk, and time-to-impact.
• Evidence before capital: pretotyping, created at Google and taught at Stanford, produces behavioural signal in days for a fraction of a build.
• Fund / fix / kill discipline: pre-agreed thresholds that make stopping a weak bet routine, not a fight.
• Independent by design: Exponentially.ai does not build or sell your AI, so the fund-or-kill call is unconflicted.
• Proven at scale: 4,000+ enterprise experiments and $68M+ generated and saved, including Tabcorp ($19.3M) and AGL ($7.5M+).

Feature deep dive: where each one acts

Olakai operates after adoption. Its value grows with the number of AI tools already running: the more copilots, agents, and coding tools you pay for, the more its cost control, ROI reporting, and governance are worth.

Exponentially.ai operates before you build or buy. The AI Bets Audit maps your portfolio, pretotypes the highest-stakes bets for behavioural evidence, and hands the board a defensible fund / fix / kill call for each. Its value is the capital it stops you from committing to bets that were never going to pay off.

Because they act at different points, an enterprise can use both: Exponentially.ai to decide which AI to back, Olakai to measure and optimise the tools once they are live.

Pricing

Olakai does not publish pricing; it is offered as an enterprise AI ROI and governance platform with a self-serve trial and demo, priced as recurring software.

Exponentially.ai is priced as a diagnostic engagement, not a subscription. The AI Bets Audit typically runs $25k–$50k for a two-week diagnostic; follow-on implementation of a proven AI workflow starts around $100k+. You pay to decide, then optionally to build the winners.

When to choose Olakai

Choose Olakai when your primary need is controlling AI you already run: seeing token and license spend across copilots and coding agents, proving the ROI of tools in use, catching idle seats and shadow AI, and forecasting usage-based costs. If a CFO, CISO, or engineering leader owns AI spend, Olakai is the stronger fit.

When to choose Exponentially.ai

Choose Exponentially.ai when the question is which AI to build or buy in the first place: which initiatives to fund, which to kill, and how to prove value before committing capital. If a CEO, CFO, CIO, or board owns the mandate and the risk is funding the wrong bet, Exponentially.ai governs the decision that comes first.