StratEngine AI vs. Superagent by Airtable: Complete Comparison for Consultants and Strategists
StratEngine AI and Superagent by Airtable both use artificial intelligence for strategic work, but they produce fundamentally different outputs. StratEngine AI generates actionable strategies using consulting frameworks like SWOT, Porter's Five Forces, and Business Model Canvas, then exports them as editable Google Slides that consultants can brand, modify, and present directly to clients. It also analyzes pitch decks for VCs and investors, accelerating the screening process by evaluating whether a startup warrants full due diligence. Superagent deploys coordinated AI agents with premium data from FactSet, Crunchbase, and SEC filings to produce interactive reports, websites, and dashboards — polished deliverables designed for on-screen consumption rather than editable slide exports. The core tradeoff is ownership and customization versus automated data aggregation. StratEngine AI gives you editable slides and documents you own, lets you import your own proprietary data — internal financials, market research, or client-specific information — directly into the analysis, and produces output you can brand and present to any audience. Superagent gives you automated access to institutional data sources like FactSet and Crunchbase rendered into polished interactive formats, but its outputs are designed to be consumed as-is rather than exported into your own slide decks, and it does not support importing proprietary data. Consultants who need branded strategy presentations and VCs screening pitch decks may prefer StratEngine AI. Teams who need automated aggregation of institutional data sources with interactive visualizations may prefer Superagent. Some teams use both at different stages of their work.
Feb 4, 2026
Summary
StratEngine AI and Superagent by Airtable both use artificial intelligence for strategic work, but they produce fundamentally different outputs. StratEngine AI generates actionable strategies using consulting frameworks like SWOT, Porter's Five Forces, and Business Model Canvas, then exports them as editable Google Slides that consultants can brand, modify, and present directly to clients. It also analyzes pitch decks for VCs and investors, accelerating the screening process by evaluating whether a startup warrants full due diligence. Superagent deploys coordinated AI agents with premium data from FactSet, Crunchbase, and SEC filings to produce interactive reports, websites, and dashboards — polished deliverables designed for on-screen consumption rather than editable slide exports.
The core tradeoff is ownership and customization versus automated data aggregation. StratEngine AI gives you editable slides and documents you own, lets you import your own proprietary data — internal financials, market research, or client-specific information — directly into the analysis, and produces output you can brand and present to any audience. Superagent gives you automated access to institutional data sources like FactSet and Crunchbase rendered into polished interactive formats, but its outputs are designed to be consumed as-is rather than exported into your own slide decks, and it does not support importing proprietary data. Consultants who need branded strategy presentations and VCs screening pitch decks may prefer StratEngine AI. Teams who need automated aggregation of institutional data sources with interactive visualizations may prefer Superagent. Some teams use both at different stages of their work.
What is Superagent by Airtable?
Airtable launched Superagent on January 27, 2026, as its first standalone product in 13 years of operation. The product emerged from Airtable's October 2025 acquisition of DeepSky (formerly Gradient), an AI agent startup that had raised approximately $40 million in venture funding and gained traction among investors and Stanford MBAs for autonomous research capabilities. Airtable CEO Howie Liu described it as the company's largest acquisition to date (TechCrunch, January 2026).
Superagent uses a multi-agent architecture where a coordinating agent plans research tasks, deploys specialized sub-agents working in parallel, and synthesizes their outputs into a single deliverable. According to Airtable's official announcement, the system can deploy up to 20 sub-agents per report, with each agent handling a specific research dimension such as financial analysis, competitive positioning, or management review (Airtable Newsroom, January 2026).
The platform pulls from premium data sources including FactSet, Crunchbase, SEC filings, and earnings transcripts. Superagent renders outputs in multiple formats including interactive reports with visualizations and filterable comparison matrices, presentation slides, websites, and dashboards. Airtable describes these deliverables as "boardroom-ready answers, beautifully rendered as reports, slides, or websites" (Airtable Newsroom, January 2026; Superagent.com, January 2026).
Superagent leverages frontier models from OpenAI, Anthropic, and Google, with what Airtable describes as full execution visibility allowing adaptation during the research process. The product supports a broad range of business workflows including market research, competitive intelligence, investment analysis, sales preparation, product benchmarking, and marketing strategy (WebProNews, January 2026).
What is StratEngine AI?
StratEngine AI is a strategic analysis platform designed for management consultants, strategy professionals, VCs, and SMB executives. Founded in 2023 by Eric Levine, formerly of Meta's Strategy and Operations team, the platform transforms company information into actionable strategies and recommendations using established business frameworks (IBTimes, 2025).
The platform applies frameworks including SWOT Analysis, Porter's Five Forces, Business Model Canvas, 4Ps Marketing Mix, Value Chain Analysis, PESTEL Analysis, McKinsey 7-S, and Blue Ocean Strategy to generate strategic insights, competitive positioning recommendations, and action plans. StratEngine AI can also generate comprehensive research reports on a company without applying a specific framework, and offers pitch deck analysis for VCs and investors to accelerate screening and help determine whether a startup warrants full due diligence. The platform uses a conversational intake process that gathers context about the specific business problem, industry dynamics, and strategic goals before generating analysis (StratEngine AI, 2026).
Framework outputs export to Google Slides and editable documents, allowing consultants to add firm branding, modify conclusions, and customize presentations for client delivery. Research reports export as markdown documents. The platform is verified across SOC 2 Type II, ISO 27001, CASA Tier 2, and AES-256 security standards (StratEngine AI, 2026).
Side-by-Side Feature Comparison
Dimension | StratEngine AI | Superagent |
|---|---|---|
Primary Function | Strategic analysis (framework-structured or research reports), pitch deck analysis | Cell 1-3Multi-agent research, analysis, and deliverable creation |
Target Users | Management consultants, strategy professionals, VCs, SMB executives | Founders, finance teams, product managers, analysts |
AI Architecture | Conversational intake with up to 5 parallel research agents | Multi-agent coordination with up to 20 parallel sub-agents |
Data Sources | AI-powered web search and ingestion of public data including SEC filings, plus user-imported proprietary data | Native premium integrations: FactSet, Crunchbase, SEC filings, earnings transcripts |
Proprietary Data Import | Yes — users can import their own internal data, financials, and market research into analysis | No — analysis uses Superagent's built-in data sources only |
Output Format | Editable Google Slides (frameworks) and markdown documents (research reports) | Interactive reports, websites, dashboards (not exportable as editable slides) |
Output Editability | Fully editable, brandable, exportable | Multiple output formats; editing workflows across formats not yet fully documented |
Framework Support | Named frameworks: SWOT, Porter's Five Forces, BMC, 4Ps, PESTEL, McKinsey 7-S, Blue Ocean | Intent-driven deliverables across multiple formats (not structured as named frameworks) |
Iteration Model | Real-time conversational refinement | New analysis run per follow-up query |
Security Certifications | SOC 2 Type II third parties, ISO 27001, CASA Tier 2, AES-256 | Not publicly documented at launch |
LLM Security | Zero data retention; user data is never used to train models | Third-party AI providers may retain inputs/outputs up to 30 days for safety moderation; Superagent commits to not using data for model training without consent |
Key Differences Explained
Analysis Approach: Framework-Structured Research vs. Multi-Agent Synthesis
Both tools perform research and synthesis. StratEngine AI researches a company and its competitive landscape, then can deliver findings in two ways: structured through named strategic frameworks like SWOT, Porter's Five Forces, and Business Model Canvas, or as a comprehensive research report without any framework applied. A consultant can generate a SWOT analysis with strategic recommendations, then separately run Porter's Five Forces on the same company, or simply request a full research report on a company's competitive position. Framework outputs export as editable Google Slides; research reports export as markdown documents (IBTimes, 2025; StratEngine AI, 2026).
Superagent deploys multiple AI agents to investigate a business question from several angles simultaneously, then synthesizes findings into polished deliverables rendered as interactive reports, websites, or dashboards. The output is comprehensive and multi-format but not organized around named frameworks. As Airtable's announcement describes it, the system "builds a knowledge graph around business intent" rather than applying pre-defined analytical models (Airtable Newsroom, January 2026).
Both tools research. The difference is output format and structure. StratEngine AI produces editable slides organized through consulting frameworks or comprehensive research reports as markdown documents — outputs you own and can customize. Superagent produces interactive reports, websites, and dashboards designed for on-screen consumption. For open-ended exploratory research where the question itself is still being defined, Superagent's multi-agent approach can surface unexpected dimensions through its parallel agent architecture. For structured strategic deliverables or comprehensive research you need to edit and deliver to clients, StratEngine AI provides the format consulting firms need.
Input Process and Context Gathering
StratEngine AI uses a conversational intake process, asking clarifying questions before generating analysis. This approach gathers context about the specific strategic problem, competitive landscape, and intended use of the analysis before producing output (StratEngine AI, 2026).
Superagent begins analysis immediately upon receiving a prompt. The coordinating agent creates a research plan, identifies investigation dimensions, and deploys sub-agents without requiring additional user input. Airtable highlights this as a feature, noting the system surfaces "dimensions you didn't think to ask about" (Airtable Newsroom, January 2026).
The practical impact is on first-output accuracy. By gathering context upfront, StratEngine AI's first analysis is more likely to address the right problem with the right framing, producing a strong initial output that users can then refine conversationally. Superagent's immediate deployment can surface unexpected angles, but if the output misses the user's actual business context, each follow-up triggers an entirely new analysis run — meaning users may generate multiple full reports before getting the one that addresses their question, with each run consuming time and credits. The conversational approach tends to produce one strong output you iterate on; the immediate approach may produce several outputs before landing on the right one.
Output Format and Deliverability
StratEngine AI exports to Google Slides and editable documents. For consultants who need to add firm branding, customize recommendations, or incorporate their own expertise into deliverables, this editability matters. Consulting firms typically require final deliverables to carry their branding and reflect the consultant's judgment, not just AI-generated content (MKTGreboot, 2025).
Superagent produces deliverables across multiple formats including interactive reports with visualizations and filterable matrices, presentation slides, websites, and dashboards. Early reviewers have praised the output quality. Kunal Kushwaha described it as "the best AI tool I have seen so far this year" for its interactive approach over text-based outputs. Eli Schwartz reported receiving "a consulting-grade report in 15 minutes" (WebProNews, January 2026).
Airtable describes outputs as "boardroom-ready answers, beautifully rendered as reports, slides, or websites." However, the specifics of editing workflows across these different output formats are not yet fully documented as of the January 2026 launch. Users who need to modify, rebrand, or integrate outputs into existing deliverables should verify current editing and export options before committing to a workflow (CompleteAITraining, January 2026; Airtable Newsroom, January 2026).
Data Sources: Web Search and Ingestion vs. Native Premium Integrations
Superagent has a clear advantage in native access to premium data. Integration with FactSet, Crunchbase, SEC filings, and earnings transcripts gives it automated access to financial and market data through a single interface. Airtable states that insights are "verified, cited, and traceable." For users who need current financial data, SEC filing analysis, or market intelligence from institutional-grade sources aggregated automatically, Superagent's data pipeline is a significant differentiator (Airtable Newsroom, January 2026).
StratEngine AI can search for and ingest publicly available data including SEC filings, market reports, and company information through its AI-powered research capabilities, but it does not have native integrations with premium data providers like FactSet or Crunchbase. A key differentiator is that StratEngine AI allows users to import their own proprietary data — internal financials, market research, competitive intelligence, or client-specific information — directly into the analysis. Superagent does not support proprietary data imports. Where StratEngine AI adds value is in structuring both public and proprietary information through established strategic frameworks, though the lack of native premium data feeds means users conducting deep financial analysis may need to source some data externally (StratEngine AI, 2026).
Speed and Iteration
StratEngine AI generates framework outputs in an average of 5 minutes and supports real-time conversational refinement. Users can iterate on frameworks, ask follow-up questions, and refine outputs within the same session without triggering entirely new analysis runs (StratEngine AI, 2026).
Superagent's analysis time varies by complexity. WebProNews reported that one user received a growth strategy in 25 minutes and another received a research report in 15 minutes (WebProNews, January 2026). Each follow-up question triggers a new analysis run. For users who need to iterate quickly on multiple variations, the per-run model may slow the refinement process.
Strengths and Limitations
Where Superagent Excels
Superagent's multi-agent architecture, premium data integrations, and multi-format output make it well-suited for a broad range of business tasks beyond traditional research. The ability to pull from FactSet, SEC filings, and Crunchbase means users get institutional-grade data without maintaining separate subscriptions to those services. Deliverables rendered as interactive reports, slides, websites, or dashboards with visualizations and filterable matrices arrive polished with minimal user effort.
Superagent also benefits from strong technical leadership. The hiring of David Azose, formerly the engineering lead of ChatGPT's business products at OpenAI, as Airtable CTO signals serious AI investment in the product. The DeepSky acquisition brought autonomous research capabilities that had already gained traction among investors and Stanford MBAs, giving Superagent a foundation built on proven AI agent technology (TechCrunch, January 2026; Upstarts Media, October 2025).
Where Superagent Wins Outright
Superagent's clearest advantage is native access to premium institutional data sources. Its integrations with FactSet, Crunchbase, SEC filings, and earnings transcripts mean users get automated aggregation of institutional-grade financial and market data without maintaining separate subscriptions. For teams that need current FactSet financials, SEC filing analysis, or Crunchbase company profiles pulled together into a single deliverable automatically, Superagent's data pipeline is a genuine differentiator that StratEngine AI does not replicate.
Superagent also covers a broader range of business workflows beyond strategic analysis. Its multi-agent architecture produces deliverables for sales preparation, product benchmarking, marketing strategy, and other workflows that fall outside StratEngine AI's focus on framework-structured strategy, research reports, and pitch deck analysis. Both tools deploy parallel agents for research — StratEngine AI runs up to 5 agents simultaneously using different research engines and topics, while Superagent can deploy up to 20 sub-agents per report. The scale of Superagent's parallel architecture, combined with its premium data integrations and multi-format interactive output (reports, websites, dashboards), gives it an edge for broad exploratory research where the question itself is still being defined.
Where Superagent Has Gaps
As a product that launched in January 2026, Superagent is still maturing. While it produces deliverables in multiple formats including reports, slides, websites, and dashboards, the editing workflows across these formats and integration specifics with existing workflows are not yet fully documented. One review noted that "how conflicting sub-agent outputs are resolved needs clearer documentation and testing" (CompleteAITraining, January 2026). The per-run analysis model and variable pricing may also create cost uncertainty for heavy users.
Where StratEngine AI Excels
StratEngine AI's core strength is generating actionable strategic analysis using named frameworks that consultants use in client engagements. The ability to produce a SWOT analysis with strategic recommendations, then Porter's Five Forces with competitive positioning insights, then a Business Model Canvas with revenue model evaluation for the same company provides distinct strategic lenses that mirror established consulting methodology. Editable Google Slides output means consultants can brand and customize deliverables before client presentations.
The platform also serves VCs and investors through pitch deck analysis, evaluating startup presentations to accelerate the screening process and help determine whether a company warrants full due diligence. This makes StratEngine AI useful not just for strategy creation but also for investment decision-making workflows.
The conversational intake process and real-time iteration support the inherently iterative nature of strategic work. StratEngine AI maintains zero data retention and does not use user data to train models, which matters for consulting firms uploading proprietary client information. Enterprise-grade security certifications (SOC 2 Type II, ISO 27001) address compliance requirements for firms working with sensitive client data. By contrast, Superagent's terms note that third-party AI providers may retain user inputs and outputs for up to 30 days for safety moderation (Superagent Terms of Service, 2026).
Where StratEngine AI Has Gaps
StratEngine AI can search for and ingest publicly available data including SEC filings and market reports, and users can import their own proprietary data directly into the analysis. However, it does not have native integrations with premium data providers like FactSet or Crunchbase. For users who need automated aggregation of institutional-grade financial data across many companies simultaneously, this is a meaningful gap compared to Superagent's native data pipeline.
While StratEngine AI can generate both framework-structured strategies and comprehensive research reports, its output formats are editable Google Slides and markdown documents rather than interactive visualizations, websites, or dashboards. Users who need interactive deliverables with filterable matrices, embedded charts, or web-based output will find Superagent better suited to those needs. Superagent also covers a broader range of business workflows including sales preparation, product benchmarking, and marketing strategy that fall outside StratEngine AI's focus on strategic analysis and research.
When to Choose Each Tool
Choose StratEngine AI When:
You need actionable strategies with specific recommendations, not just research — structured through frameworks like SWOT, Porter's Five Forces, and BMC when applicable
You need editable, brandable output in Google Slides for client presentations that carry your firm's branding
You want to import your own proprietary data — internal financials, market research, or client-specific information — directly into the analysis
You are a VC or investor who needs to screen pitch decks quickly and evaluate whether a startup warrants full due diligence
You want real-time iterative refinement without per-run costs or waiting 15-25 minutes per follow-up
Enterprise security certifications (SOC 2 Type II, ISO 27001) matter for your client engagements
Choose Superagent When:
You need polished deliverables (reports, slides, websites, or dashboards) backed by premium financial data from FactSet, SEC filings, and Crunchbase
You want multi-format output including interactive visualizations, filterable comparison matrices, and presentation-ready slides
You need automated data aggregation across multiple premium sources without maintaining separate FactSet or Crunchbase subscriptions
You work within the Airtable ecosystem and want seamless integration with existing team workflow
Conclusion
StratEngine AI and Superagent by Airtable represent two distinct approaches to AI-powered strategic work, each with clear strengths and identifiable gaps. StratEngine AI applies established consulting frameworks including SWOT, Porter's Five Forces, and Business Model Canvas to generate actionable strategies exported as editable Google Slides, supports pitch deck analysis for VCs, and lets users import their own proprietary data into the analysis. Superagent deploys coordinated AI agents with premium data from FactSet, Crunchbase, and SEC filings to produce polished interactive reports, websites, and dashboards — but does not export editable slides or accept proprietary data imports.
The right choice depends on your workflow. Consultants who deliver branded strategy presentations to clients and VCs who need to screen pitch decks quickly need editable output and the ability to incorporate proprietary data. Teams who need broad market research, competitive intelligence, or investment analysis with automated premium data aggregation need Superagent's institutional-grade data pipeline and interactive visualizations. Some teams may benefit from using both tools at different stages of their engagement work.
Both products are actively evolving. Superagent launched in January 2026 and is still documenting its full capabilities, including editing workflows across its multiple output formats. StratEngine AI continues to expand its framework library and feature set. Evaluating both against your specific workflow requirements, rather than feature lists alone, will lead to the better decision for your team.
Sources
1. Airtable Newsroom. "Introducing Superagent: A Multi-Agent System for Work." January 27, 2026. https://www.airtable.com/newsroom/introducing-superagent
2. TechCrunch. "Airtable jumps into the AI agent game with Superagent." January 27, 2026. https://techcrunch.com/2026/01/27/airtables-valuation-fell-by-7-million-its-founder-thinks-that-was-just-the-warm-up/
3. WebProNews. "Airtable's Superagent: Orchestrating AI Teams to Reshape Enterprise Research." January 2026. https://www.webpronews.com/airtables-superagent-orchestrating-ai-teams-to-reshape-enterprise-research/
4. Airtable Newsroom. "Airtable Expands AI with DeepSky Acquisition, New CTO." October 2025. https://www.airtable.com/newsroom/deepsky-acquisition-new-cto
5. CompleteAITraining. "Superagent from Airtable." January 2026. https://completeaitraining.com/ai-tools/superagent-from-airtable/
6. IBTimes. "A Closer Look at StratEngine AI and Its Role in Helping Business Consultants Generate Strategies." 2025. https://www.ibtimes.com/closer-look-stratengine-ai-its-role-helping-business-consultants-generate-strategies-3791420
7. MKTGreboot. "AI Strategy for Business: From Meta Operations to Building StratEngine AI." 2025. https://mktgreboot.com/ai-strategy-for-business-stratengine-meta-operations-eric-levine/
8. StratEngine AI. Official website. 2026. https://stratengineai.com
9. Upstarts Media. "Exclusive: Airtable Hires CTO From OpenAI, Acquires AI 'Superagent' Startup DeepSky." October 2025. https://www.upstartsmedia.com/p/airtable-hires-cto-openai-acquires-deepsky
About the Author
Eric Levine is the founder of StratEngine AI. He previously worked at Meta in Strategy and Operations, where he led global business strategy initiatives across international markets. He holds an MBA from UCLA Anderson. He has direct experience with the consulting workflow challenges both tools aim to solve. All factual claims about Superagent are sourced from third-party publications and Airtable's official announcements.
