We don't sell software.
We deploy an AI workforce.
Avion AI deploys specialized, autonomous AI Agents, each powered by a proprietary Deep Thinking Thesis Engine, to automate 60-70% of manual grunt work across investment research, M&A, and fixed asset investments.
Three specialized AI agents. Three proprietary Thesis Engines. One unified intelligence layer for all of financial services.
Your tireless AI equity research analyst, reasoning over public company data to generate institutional-grade investment research around the clock.
Your AI fixed asset due diligence partner, transforming hundreds of documents into structured models, risk assessments, and IC-ready materials.
Your AI Investor Relations strategist, providing always-on intelligence for managing your equity story and staying ahead of analyst expectations.
Jesse ingests, models, and reasons over public company data to generate institutional-grade investment research. It understands the story behind the numbers, evaluating every data point against a living, evolving investment thesis. Current focus: software and semiconductor sectors.
Constantly listens to press releases, EDGAR filings, and custom sources. Reads, summarizes, and prioritizes by investment importance.
Reads filings within minutes of release. Generates beat/miss assessments with thesis-anchored commentary.
Produces flash notes, earnings summaries, research reports, and initiation-of-coverage documents at institutional quality.
Updates analyst-owned Excel models with new earnings data, segment breakdowns, and guidance revisions. No manual re-keying.
Tracks sell-side analyst sentiment to provide early warning of rating changes, thesis shifts, or consensus drift.
Writes high-quality research notes from either a bull or bear perspective. No sentiment bias, pure analysis.
Steve reads hundreds of asset documents, financial agreements, asset specs, inspection reports, appraisals, and regulatory filings, then transforms them into structured financial models, risk assessments, and investment committee-ready materials.
Processes contract summaries, asset specs, title documents, and regulatory filings at scale, cutting RFP-to-LOI time by up to 60%.
Scans for undisclosed side letters, maintenance inconsistencies, onerous return conditions, environmental liabilities, and hidden encumbrances.
Extracts specifications and contract terms directly into financial models to generate indicative valuations for LOI pricing.
Generates investment committee-ready decks from scenario analysis: base, upside, and downside cases.
Evaluates prospective acquisitions against existing portfolio composition, concentration limits, and risk appetite.
Carol is purpose-built for corporate IR teams managing the critical bridge between a public company and the investment community. Carol automates the surveillance, preparation, and intelligence work so IR professionals can focus on strategic relationships and messaging that move the stock.
Continuously monitors sell-side analyst theses, identifies errors vs. your guidance, and flags misaligned estimates before they propagate.
Tracks every rating change, price target revision, and thesis shift across your coverage universe in real time.
Predicts questions your CEO and CFO will face on the earnings call, with draft responses and supporting data.
Produces first-draft earnings scripts, prepared remarks, and comprehensive Q&A documents grounded in your historical messaging.
Builds prioritized targeting lists for roadshows, conferences, and non-deal marketing.
Tracks 13F filings and ownership data with automated alerts when material changes occur in your shareholder base.
From real-time news monitoring to institutional-grade research reports, this is what Jesse's output looks like in practice.
The Jesse dashboard shows the full 8-agent pipeline in real time. The Coverage Universe tracks every covered stock with live prices, event counts, and publication metrics.
Jesse's Monitoring Agent ingests press releases, EDGAR filings, blog posts, and news 24/7. Each item is tagged by ticker, source, and priority based on investment thesis relevance.
Jesse produces first-draft earnings notes at institutional quality within minutes of a filing, complete with thesis-anchored summary and granular beat/miss commentary.
Every Jesse report includes structured financial tables: segment revenue vs. estimates, variance callouts, and a full GAAP to non-GAAP reconciliation automatically populated from the filing.
When Jesse reads a news article, it maps every data point to specific thesis components and assigns a sentiment. This is the Core Thesis Engine reasoning out loud.





Avion AI's mission is to augment investment professionals with AI “teammates” that automate the grunt work of financial analysis while preserving the transparency and trust that institutional investors demand.
The future of finance isn't about replacing human judgment, it's about amplifying it. The most valuable analysts spend 60-70% of their time on data aggregation, model updating, report formatting, and document review. That's not where their expertise lives.
Avion AI takes that tedious, repetitive, error-prone work off their plate and gives it to purpose-built AI agents. Every AI output is fully auditable. Every figure is grounded in a cited source. No black boxes. No hallucinated numbers.
We offload the 60-70% of tedious work so your best people can focus on what actually moves the needle.
Every AI output is auditable, with every figure and insight grounded in a cited source: filings, documents, or models.
We build for the world's most demanding financial institutions, not for demos.
Traditional financial tools are data aggregators. Avion AI is a thinking system.
Our specialized AI engines retain persistent, long-term memory of every company's history, every deal's document trail, and every asset's maintenance record. They reason out loud, critique performance, and generate judgment, not just facts.
Deployed on compliant cloud infrastructure (AWS/Azure) with strict controls around data privacy, model governance, and audit trails. We integrate directly into existing analyst workflows: Excel, email, internal platforms.
The same Thesis Engine framework powers Jesse, Steve, and Carol, enabling us to scale across equity research, M&A, investor relations, asset management, and beyond. TAM exceeding $150 billion.
Avion AI is led by a team combining deep financial domain expertise with cutting-edge AI engineering talent. We've sat in the seats of the analysts and associates we're building for. We understand the workflows, the pain points, the compliance constraints, and the uncompromising quality standards that institutional finance demands.
Our mission is to codify expert human reasoning into software, and we hire people who understand both sides of that equation.
Join the Team →Avion AI actively seeks partnerships with industry leaders to integrate our agents into existing financial workflows.
Providers of financial data, market intelligence, and industry-specific datasets that enrich our Thesis Engines, including Cirium for aviation and FactSet and Bloomberg for equities.
Cloud infrastructure, security, and enterprise platform providers ensuring our deployment meets the most stringent institutional requirements across all regulatory environments.
Consulting firms, system integrators, and financial technology companies that bring our agents to market within large institutional environments.
Interested in partnering? partners@avionai.co
We are not building another spreadsheet. We are building the intelligence layer for financial markets.
Reasoning architectures, metacognition, knowledge graph development, agentic systems, long-term context retention, and RAG. Solve the hardest problems at the frontier of AI and finance.
Shape the next generation of financial agent-based workflows at the intersection of finance domain expertise and AI capability, defining what our agents should do and how they integrate into analyst workflows.
Own the client relationship from onboarding through expansion. Designed to transition into sales as we scale, a high-growth, high-impact role for the right person.
Domain expertise in finance: you've lived the workflows we're automating and understand the pain points deeply.
A passion for the Memory Problem in AI: how do you build agents that truly learn and retain context over time?
A commitment to building for compliance and scale: institutional finance is not a move-fast-and-break-things environment.
Intellectual curiosity and a bias toward action. We move with urgency and hold ourselves to the highest standards of craft.
Send your resume and a brief note on why you're excited about the AI Agent Workforce.
Apply at careers@avionai.coAvion AI confirms the investment research space as the MVP focus for Jesse. The initial use case is Automated Earnings Analysis, starting with a deep-dive on a single target company. The Initiation Report feature provides the historical context that makes every analysis institutional-grade.
Strategic planning validates the emerging market for “AI-only firms”: lean, technology-native financial firms operating at a fraction of the headcount and cost of traditional institutions. Avion AI's Agent Workforce is positioned as the necessary evolution path for both new entrants and traditional institutions.
Key takeaways from the 2025 SFO Conference validated three core product decisions: an agentic core with robust long-term context retention; Analysis Credits monetization tied to computational output; and workflow defensibility through deep integration into the customer's daily financial workflow.
Whether you're a sell-side research firm, an asset manager, a corporate IR team, or a capital-intensive investor, Avion AI has an agent built for your workflow.