StratEngine AI vs. Superagent by Airtable: Complete Comparison for Consultants and Strategists

Author: Eric Levine, Founder of StratEngine AI | Former Meta Strategist | UCLA Anderson MBA

Published: February 3, 2026

Reading time: 12 minutes

Disclosure: This article is published by StratEngine AI, one of the two products compared. This comparison uses publicly available information from TechCrunch, Airtable's official newsroom, WebProNews, IBTimes, and other publications. All factual claims about Superagent are sourced from third-party publications and Airtable's official announcements.

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 the DeepSky deal as the company's largest acquisition to date. Source: 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. Source: Airtable Newsroom, January 2026.

The platform pulls from premium data sources including FactSet for financial data, Crunchbase for startup and company information, SEC filings for regulatory documents, and earnings transcripts for public company analysis. 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." Source: Airtable Newsroom, January 2026; Superagent.com, January 2026.

Superagent leverages frontier AI 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. Target users include founders, finance teams, product managers, analysts, and sales teams. CEO Howie Liu positions Superagent alongside Anthropic's Claude and Manus as products with "a true, generally capable, long-running and really smart agent architecture." Source: WebProNews, January 2026; TechCrunch, 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. Users can import their own proprietary data — internal financials, market research, or client-specific information — directly into the analysis. The platform is trusted by over 800 professionals according to StratEngine AI's website. Source: IBTimes, 2025; StratEngine AI, 2026.

The platform applies named strategic 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. Source: 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 for enterprise-grade data protection. StratEngine AI's Professional tier costs $97 per month billed annually and includes advanced frameworks like Blue Ocean, McKinsey 7-S, and PESTEL. Source: StratEngine AI, 2026.

Side-by-Side Feature Comparison: StratEngine AI vs. Superagent

Key Differences Between StratEngine AI and Superagent

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. Source: 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. Source: 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: Conversational Intake vs. Immediate Deployment

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. The tradeoff is that users invest time upfront to ensure the output addresses the right strategic question. Source: 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." The tradeoff is that outputs may require refinement to match the specific business context the user had in mind. Source: 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: Editable Slides vs. Interactive Reports

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. Source: 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 visualizations. Eli Schwartz reported receiving "a consulting-grade report in 15 minutes." Source: 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 slide decks should verify current editing and export options before committing to a workflow. Source: 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. Source: 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. Source: StratEngine AI, 2026.

Speed and Iteration Model

According to StratEngine AI's own documentation, which has not been independently benchmarked in third-party reviews, the platform generates framework outputs in minutes and supports real-time conversational refinement within the same session. Users can iterate on frameworks, ask follow-up questions, and refine outputs without triggering entirely new analysis runs or consuming additional credits. Prospective users should test the platform's free tier to verify speed claims for their specific use case. Source: StratEngine AI, 2026.

Superagent's analysis time varies by complexity. WebProNews reported one user received a growth strategy in 25 minutes and another received a research report in 15 minutes. 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 compared to real-time conversational tools. Source: WebProNews, January 2026.

Pricing Comparison: StratEngine AI vs. Superagent by Airtable

Pricing for both products is evolving, and users should verify current pricing directly with each provider before making purchasing decisions. The pricing models differ significantly in structure, with StratEngine AI using fixed subscription tiers and Superagent using per-user pricing with inference credits that scale based on usage volume.

Superagent pricing was described as "still being hammered out" at launch, with CEO Howie Liu stating "We're not trying to optimize for profit margin right now." Airtable is prioritizing adoption over margins in the early stages of the product. Pricing details may have changed since publication, so users should check superagent.com for current plans and credit allocations. Source: TechCrunch, January 2026.

Strengths and Limitations of Each Tool

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. Source: Airtable Newsroom, January 2026; Superagent.com, January 2026.

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. Source: 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 consultant workflows are not yet fully documented. One review noted that "how conflicting sub-agent outputs are resolved needs clearer documentation and testing." The per-run analysis model and variable pricing may also create cost uncertainty for heavy users. Source: CompleteAITraining, January 2026.

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. Source: IBTimes, 2025.

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. Users can import their own proprietary data — internal financials, market research, or client-specific information — directly into the analysis, a capability Superagent does not offer. Source: StratEngine AI, 2026.

The conversational intake process and real-time iteration support the inherently iterative nature of strategic work, where consultants refine analysis through multiple rounds of feedback with clients and internal stakeholders. 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 including SOC 2 Type II and 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. Source: StratEngine AI, 2026; 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 StratEngine AI vs. Superagent

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
• You prefer predictable subscription pricing over variable per-user credit-based models

Choose Superagent When:

• You need polished deliverables (reports, slides, websites, or dashboards) backed by premium financial data from FactSet, SEC filings, and Crunchbase
• You conduct market intelligence, competitive analysis, sales preparation, or investment due diligence requiring institutional-grade data sources
• 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 workflows
• You perform open-ended research where discovering unexpected dimensions matters more than applying a specific framework

Conclusion: Choosing Between StratEngine AI and Superagent

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 automated access to institutional data sources like 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 automated aggregation of institutional data sources with interactive visualizations need Superagent's data pipeline and multi-format output. 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.

FAQs

What is the difference between StratEngine AI and Superagent by Airtable?

StratEngine AI generates actionable strategies using frameworks like SWOT Analysis, Porter's Five Forces, and Business Model Canvas, exported as editable Google Slides for consultant deliverables. It also offers pitch deck analysis for VCs and lets users import their own proprietary data into the analysis. Superagent by Airtable deploys coordinated AI agents with automated access to FactSet, Crunchbase, and SEC filings to produce interactive reports, websites, and dashboards. The core difference is output ownership: StratEngine AI produces editable slides and documents you can brand and customize, while Superagent produces polished interactive formats designed to be consumed as-is rather than exported into your own slide decks. Superagent does not support proprietary data imports.

How much does Superagent by Airtable cost?

Superagent by Airtable offers free options at launch, with paid tiers starting at approximately $20 per user per month and scaling up to $200 per user per month for power users with inference credits. CEO Howie Liu described pricing as still being finalized at launch in January 2026, stating the company is prioritizing adoption over margins. Users should verify current pricing at superagent.com as details may have changed since the January 2026 launch. Source: TechCrunch, January 2026.

How much does StratEngine AI cost?

StratEngine AI offers a free tier with limited frameworks including SWOT and 3C's analysis. The Essential plan provides expanded frameworks for emerging founders and small teams. The Professional plan costs $97 per month billed annually and includes advanced frameworks like Blue Ocean, McKinsey 7-S, and PESTEL. StratEngine AI uses fixed subscription pricing per tier rather than per-run or credit-based models. Verify current pricing at stratengine.ai as details may have been updated.

Can Superagent by Airtable generate SWOT analysis or Porter's Five Forces?

Superagent by Airtable produces comprehensive deliverables using multi-agent AI coordination in formats including reports, slides, websites, and dashboards, but its outputs are not structured as named strategic frameworks like SWOT Analysis or Porter's Five Forces. Superagent synthesizes findings from multiple specialized AI agents into polished deliverables with visualizations and cited data from premium sources like FactSet and SEC filings. For actionable strategic analysis explicitly structured around named consulting frameworks like SWOT, Porter's Five Forces, Business Model Canvas, or PESTEL, StratEngine AI is purpose-built for that workflow.

Which tool is better for management consultants?

The better choice depends on the consultant's specific workflow and deliverable requirements. StratEngine AI is designed for consultants who deliver framework-based strategy presentations to clients, generating actionable analysis using SWOT, Porter's Five Forces, and other frameworks exported as editable Google Slides that can be branded and customized. It also supports pitch deck analysis for VCs and lets users import proprietary data into the analysis. Superagent is better suited for teams who need automated aggregation of institutional data from FactSet, SEC filings, and Crunchbase into interactive reports, websites, or dashboards, but does not export editable slides or accept proprietary data. Some consulting teams use both tools at different stages of client engagement.

Does Superagent allow editing or exporting reports?

Superagent produces deliverables across multiple formats including interactive reports, slides, websites, and dashboards. Airtable describes outputs as "boardroom-ready answers, beautifully rendered." As of the January 2026 launch, the specifics of editing workflows across these different output formats are not yet fully documented in public sources. Consultants who need to modify, rebrand, or integrate outputs into existing deliverables should verify current editing and export options directly at superagent.com. Source: CompleteAITraining, January 2026; Airtable Newsroom, January 2026.

What data sources does Superagent by Airtable use?

Superagent by Airtable pulls from premium data sources including FactSet for financial data, Crunchbase for startup and company information, SEC filings for regulatory documents, and earnings transcripts for public company analysis. Airtable states that all insights are verified, cited, and traceable back to their original sources. Superagent also leverages frontier AI models from OpenAI, Anthropic, and Google for analysis and synthesis. Source: Airtable Newsroom, January 2026.

Sources

• Airtable Newsroom. "Introducing Superagent: A Multi-Agent System for Work." January 27, 2026. https://www.airtable.com/newsroom/introducing-superagent
• TechCrunch. "Airtable jumps into the AI agent game with Superagent." January 27, 2026. https://techcrunch.com/2026/01/27/
• 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/
• Airtable Newsroom. "Airtable Expands AI with DeepSky Acquisition, New CTO." October 2025. https://www.airtable.com/newsroom/deepsky-acquisition-new-cto
• CompleteAITraining. "Superagent from Airtable." January 2026. https://completeaitraining.com/ai-tools/superagent-from-airtable/
• IBTimes. "A Closer Look at StratEngine AI and Its Role in Helping Business Consultants Generate Strategies." 2025. https://www.ibtimes.com/
• MKTGreboot. "AI Strategy for Business: From Meta Operations to Building StratEngine AI." 2025. https://mktgreboot.com/
• StratEngine AI. Official website. 2026. https://stratengineai.com
• Upstarts Media. "Exclusive: Airtable Hires CTO From OpenAI, Acquires AI 'Superagent' Startup DeepSky." October 2025. https://www.upstartsmedia.com/

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.

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