ABUNDANCE
Revenue Decision Intelligence
Growth has structurally shifted from expansion to efficiency, forcing companies to unlock materially higher revenue output from limited resources. In this environment, how those limited resources are allocated becomes the primary driver of outcomes. And yet, revenue allocation decisions are rarely computed or simulated in advance.
Dashboards passively describe. Forecasting narrowly predicts. Planning tools ignore second-order effects. None computes the globally optimal decision.
The problem lies in the complexity itself. Modern revenue systems are not simple “funnels”, but constrained stochastic systems where local decisions propagate nonlinearly — exceeding what human judgment can reliably optimize.
So companies default to weak decision patterns: teams optimize for local KPIs rather than the overall system; centralized decisions rely on averages that ignore the granular reality; and leaders choose defensible decisions over optimal ones. This results in unrealized revenue and suboptimal growth.
Abundance brings system-wide, optimized decision intelligence to enterprise revenue. We proactively detect which decisions need to be made, simulate their consequences, and recommend the best allocation across resources at every level of granularity. The closed-loop learning process ensures this intelligence continuously improves.
Our intelligence upgrades the highest-value function in the company: decision-making. LLMs are not the optimizer but only the interface, while the core consists of simulation, probabilistic modeling, and constrained optimization under uncertainty.
To achieve this, we first reconstruct messy, incomplete revenue data into a structured, model-ready system. This decisive and compounding advantage also enables us to build far more performant revenue agents, and ultimately to rebuild the entire revenue stack with significantly higher intelligence and effectiveness.
Our culture is high intensity and high urgency. We are fully committed to building a generational company for Israel.
Founding Technical Roles
We are looking for two founding technical leaders / potential cofounders.
You do not need to be a revenue expert. We are looking for someone who can model constrained systems and turn messy operational history into executable simulation, optimization, and decision recommendations. Relevant backgrounds include military OR, operations research, simulation, optimization, industrial engineering, applied mathematics, logistics, supply chain, workforce planning, healthcare operations, pricing, or algorithmic decision systems.
Read more →Your role is to turn the decision engine into a secure, reliable, auditable enterprise product. You will own the architecture for ingestion, reconstructed event logs, simulation infrastructure, versioning, run history, cloud, APIs, and scalability. Relevant backgrounds include backend engineering, data/platform engineering, ML infrastructure, enterprise SaaS, analytics platforms, cloud infrastructure, or security-sensitive B2B systems.
Read more →Founding Revenue Role
We are looking for someone who combines field sales experience with RevOps/GTM systems thinking. This person will help Abundance understand how revenue systems actually work in the field, then translate that reality into the rules, definitions, signals, and operating logic needed to reconstruct, model, simulate, and optimize them.
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