iGOT AI

PUBLIC

Name	iGOT AI
Tagline	No-code enterprise AI platform for building autonomous agents
Headquarters	Seattle, United States
Founded	2023
Stage	Pre-Seed
Business Model	SaaS
Industry	Defense / Govtech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	Undisclosed

Links

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• Website: https://igot.ai
• LinkedIn: https://www.linkedin.com/company/igotai
• GitHub: https://github.com/igot-ai
• AWS Marketplace: https://aws.amazon.com/marketplace/pp/prodview-nyxg7hlsmhuaq

Executive Summary

PUBLIC

iGOT AI is a no-code platform for building and deploying autonomous AI agents, positioning itself as a solution for regulated enterprises that need to automate workflows without compromising on security or developer resources. The company's presence on AWS Marketplace and its focus on sectors like government and financial services suggest a deliberate go-to-market strategy targeting compliance-sensitive buyers [AWS Marketplace, 2026] [Perplexity Sonar Pro, 2026].

Founded in 2023 by Nguyen Kim Anh Quan, the company operates as a solo-founder venture based in Seattle, with a secondary operational footprint indicated in Vietnam [Perplexity Sonar Pro, 2026] [LinkedIn, 2026]. Its product architecture, described as transforming fragmented data into structured layers for agent creation, aims to abstract away the complexity of generative AI development [Perplexity Sonar Pro, 2026].

A key differentiator appears to be the platform's availability as a managed service on AWS, which could lower the adoption barrier for enterprise IT departments. However, the company has not publicly disclosed any funding rounds, named customers, or detailed team composition beyond the founder [PitchBook, 2026].

For investors, the next 12-18 months will be critical for validating the platform's commercial traction and technical execution. The primary watchpoints are the announcement of an initial institutional funding round, the disclosure of pilot customers or government contracts, and the expansion of the core technical team beyond the founder.

Data Accuracy: YELLOW -- Core company descriptors are consistent across multiple directories, but key commercial and financial details lack independent verification.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Defense / Govtech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	Undisclosed

Company Overview

PUBLIC

iGOT AI is a Seattle-based enterprise software company founded in 2023 by Nguyen Kim Anh Quan, who appears to be the sole named founder in public directories [Perplexity Sonar Pro, 2026]. The company's public narrative positions it as a no-code platform for building autonomous AI agents, with an early focus on regulated sectors including government and financial services [Perplexity Sonar Pro, 2026].

Available public milestones are sparse and primarily consist of directory listings and platform placements. The company was listed as a participant in the AI Awards 2024 in Vietnam [VnExpress, 2024]. A year later, a short promotional video indicated iGOT AI placed in the Top 10 of the Qualcomm Vietnam Innovation Challenge (QVIC 2025) [YouTube, 2025]. Its primary commercial footprint is an active listing on the AWS Marketplace, which describes the platform as enabling AI agent creation without coding [AWS Marketplace, 2026].

Data Accuracy: YELLOW -- Founding details and milestone events are cited from a single aggregated source and regional press; company website and corporate filings were not accessible for direct verification.

Product and Technology

MIXED The company's public positioning centers on a no-code platform for building and deploying autonomous AI agents, described as a "Figma for Siri-like assistants" for enterprise and SMB use [AWS Marketplace]. The core value proposition is to enable secure workflow automation without coding, specifically targeting regulated sectors where data security is paramount [Perplexity Sonar Pro, 2026].

Available product descriptions outline a four-layer architecture for transforming fragmented data into structured, real-time applications. The layers are Catalog, Studio, Agent, and Application, though the specific functions of each are not detailed in public sources [Perplexity Sonar Pro, 2026]. The platform is listed on the AWS Marketplace, which implies a cloud-native deployment model and integration with AWS services, a common choice for startups targeting government and financial services clients [AWS Marketplace, 2026]. A GitHub organization exists under the name "igot-ai," containing at least one repository for a "Datalog MCP server extension," suggesting some development activity around the Model Context Protocol, a standard for connecting AI applications to data sources [GitHub].

Public claims about the product's application vary slightly by source. The AWS Marketplace listing emphasizes use cases in sales, HR, and finance for executing generative AI virtual agents [AWS Marketplace, 2026]. An F6S directory profile, however, states the company is developing a data management platform specifically for the State Audit of Vietnam and the Ministry of Finance [F6S]. This discrepancy may indicate an early-stage pivot or a bifurcated strategy between a general-purpose platform and a targeted government solution. No named customer deployments, detailed case studies, or product roadmap announcements have been made public.

Data Accuracy: YELLOW -- Product claims are sourced from marketplace listings and directories; technical depth and current feature set are unverified.

Market Research and Opportunity

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The market for enterprise-grade AI agent platforms is coalescing around a critical need to operationalize generative AI beyond simple chatbots, a shift driven by the rising cost and complexity of manual workflow integration.

Available third-party market sizing for the specific category of no-code autonomous agent platforms is not cited in public sources for iGOT AI. Analysts can look to adjacent, broader markets for analog. The global market for intelligent process automation, which includes RPA and AI-driven workflow tools, was valued at approximately $15.8 billion in 2023 and is projected to reach $46.4 billion by 2030, growing at a compound annual rate of 16.8% [Grand View Research, 2024]. The market for AI in the government sector specifically, a stated target for iGOT AI, was estimated at $6.9 billion in 2023 and is forecast to exceed $21 billion by 2030 [MarketsandMarkets, 2024]. These analogous figures suggest the addressable envelope for a platform automating complex, secure business tasks is substantial and growing.

Demand appears driven by several converging tailwinds. Enterprises face pressure to automate knowledge work and integrate disparate data sources without expanding specialized engineering teams, creating a pull for no-code solutions [Perplexity Sonar Pro, 2026]. In regulated sectors like government and finance, which iGOT AI targets, there is a simultaneous push for digital modernization and a strict requirement for data security and auditability, favoring platforms that can deploy within controlled environments like AWS [AWS Marketplace, 2026]. The company's profile on F6S explicitly mentions development for the State Audit of Vietnam and Ministry of Finance, indicating an early focus on public sector digitization projects [F6S].

Key substitute markets include traditional robotic process automation (RPA) suites, low-code application platforms (LCAP), and custom development using foundational AI models. The platform's proposed differentiation rests on bundling data structuring, agent orchestration, and deployment into a single, secure workspace, aiming to reduce the fragmentation these substitutes often introduce. Regulatory forces, particularly concerning data sovereignty and AI ethics in public procurement, could act as both a barrier and a catalyst for a compliant platform.

Intelligent Process Automation (2023) | 15.8 | $B
AI in Government Sector (2023) | 6.9 | $B

The chart illustrates the scale of the adjacent markets iGOT AI's platform would intersect. The government sector slice, while smaller, represents a defined initial beachhead with specific compliance requirements that could deter generalist competitors.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, broad industry reports not directly cited for the company. The company's target sector and demand drivers are inferred from directory listings and marketplace descriptions.

Competitive Landscape

MIXED, iGOT AI's competitive positioning is defined by its focus on a no-code, secure workspace for autonomous agents, a wedge into regulated sectors where data governance is a primary concern.

Given the absence of named, direct competitors in the structured sources, a comparison table is omitted. The competitive analysis is therefore based on the inferred market map from the company's stated positioning.

The competitive map for secure, enterprise-grade AI agent platforms is fragmented across several segments. Incumbent workflow automation suites like UiPath and Microsoft Power Platform offer established no-code/low-code environments with deep enterprise integrations, but they are not optimized for the orchestration of generative, autonomous AI agents. Emerging pure-play agent platforms such as CrewAI or LangChain's LangGraph provide powerful developer frameworks for building agentic systems, but they target technical users and lack the turnkey, secure workspace iGOT AI describes. The most direct adjacent substitutes are likely cloud hyperscaler AI services (e.g., AWS Bedrock Agents, Azure AI Agents), which offer managed agent-building capabilities within their own secure, compliant cloud environments, directly competing for the same enterprise budget and trust.

Where iGOT AI claims a defensible edge today is in its specific product wedge: a 'Figma for Siri-like assistants' that abstracts away prompting and coding for business users [AWS Marketplace]. This no-code focus, combined with an explicit emphasis on secure digital workspaces for regulated data, could carve out an initial beachhead in government and audit sectors, as hinted by the F6S profile referencing Vietnam's State Audit [F6S]. However, this edge is perishable. It relies on the assumption that larger incumbents will be slow to layer a comparable no-code UI atop their existing agent infrastructure and that iGOT AI can build sufficient workflow depth before they do.

The company's most significant exposure is its lack of a demonstrated commercial footprint. Without named customers, case studies, or a funded war chest, iGOT AI is vulnerable on every competitive axis: it cannot outspend on R&D, cannot compete on enterprise sales and support capacity, and cannot yet prove its security and compliance claims at scale. A specific competitor like Microsoft, with its entrenched Power Platform distribution into government IT shops and its accelerating Copilot Studio roadmap, could replicate iGOT AI's proposed value proposition and instantly nullify its differentiation.

The most plausible 18-month competitive scenario sees continued fragmentation. A 'winner' in this segment would be a platform that successfully bridges the no-code usability gap for business teams while providing ironclad, auditable governance for AI agent actions. If iGOT AI secures seed funding and lands a flagship public sector deployment, it could become an attractive acquisition target for a cloud provider or systems integrator seeking a compliant agent UI. A 'loser' would be any early-stage player, including iGOT AI, that fails to move beyond directory listings and generic AWS Marketplace pages to demonstrate tangible, recurring enterprise adoption. Without that proof, they risk being subsumed by the expanding feature sets of the platforms already embedded in their target customers' tech stacks.

Data Accuracy: ORANGE, Competitive positioning is inferred from company descriptions and market context; no direct competitor intelligence or market share data is publicly available.

Opportunity

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The ultimate prize for iGOT AI is to become the standard no-code layer for deploying secure, autonomous AI agents within regulated enterprises, a role analogous to what Figma achieved for collaborative design.

The headline opportunity is to define the secure agentic AI category for government and financial services. The company’s positioning on AWS Marketplace and its focus on “secure digital workspace[s]” [AWS Marketplace, 2026] directly targets sectors where data sovereignty and compliance are non-negotiable. The cited development of a platform for the State Audit of Vietnam and Ministry of Finance [F6S] provides a concrete, if early, signal that the product concept resonates with high-stakes public sector workflows. This outcome is reachable not because of technical superiority, but because the company is attempting to wedge into a market segment,government and enterprise audit,that is often underserved by generalist AI platforms and where procurement cycles favor established, secure vendor relationships. Becoming the default tool here would mean owning the workflow before broader commercial adoption accelerates.

Growth scenarios present distinct paths to scale, each hinging on a specific catalyst.

Scenario	What happens	Catalyst	Why it's plausible
Public Sector Anchor	iGOT AI becomes the mandated AI agent platform for a national government’s digital transformation initiative.	A formal procurement or pilot program with a ministry, such as the cited work with Vietnam's State Audit [F6S].	Public sector tech adoption often follows a lighthouse model; one major contract can set a de facto standard for adjacent agencies and state-owned enterprises.
AWS Marketplace Acceleration	The company achieves breakout growth through AWS’s channel, becoming a top-selling AI/ML solution for mid-market financial services firms.	Featured placement in AWS’s industry-specific solutions or a co-sell partnership with AWS’s public sector team.	The product is already listed and described as enabling “generative AI Virtual Agents” for sales, HR, and finance [AWS Marketplace, 2026], aligning with AWS’s push to monetize AI workloads.

What compounding looks like centers on a workflow and data lock-in flywheel. An initial deployment within a government audit office would generate highly structured, domain-specific data layers (Catalog, Studio) [Perplexity Sonar Pro, 2026]. These proprietary data schemas and agent templates could then be productized for similar agencies,first within the same country, then for similar functions in other governments. Each new department adds to a library of pre-built, compliant agent “blueprints,” reducing time-to-value for the next customer and creating a switching cost based on accumulated institutional knowledge. The company’s GitHub activity around a “Datalog MCP server” [GitHub] suggests early work on the interoperability standards that could facilitate this data layer reuse.

The size of the win can be framed by looking at adjacent infrastructure providers. For a scenario where iGOT AI becomes a significant platform within government AI procurement, a credible comparable is Palantir Technologies (NYSE: PLTR), which has built a multi-billion dollar market cap on providing data integration and AI operating systems to government and large enterprises. A more focused software comparable could be Appian (NASDAQ: APPN), a low-code automation platform for regulated industries, which trades at a market cap of approximately $2 billion. If the “Public Sector Anchor” scenario plays out, iGOT AI could aim to capture a specialized niche within this broader market. A successful outcome in this vein could support a valuation in the high hundreds of millions to low single-digit billions (scenario, not a forecast), contingent on capturing a material share of a specific national or vertical market.

Data Accuracy: YELLOW -- Opportunity analysis is based on product positioning from AWS Marketplace and a directory listing; specific customer deployments and market traction are not publicly confirmed.

Sources

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1. [AWS Marketplace, 2026] iGOT AI Platform - AWS Marketplace | https://aws.amazon.com/marketplace/pp/prodview-nyxg7hlsmhuaq

2. [Perplexity Sonar Pro, 2026] iGOT.AI Company Brief | https://www.perplexity.ai/

3. [PitchBook, 2026] iGOT AI 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/686876-86

4. [VnExpress, 2024] 48 sản phẩm vào vòng bình chọn AI Awards 2024 | https://vnexpress.net/48-san-pham-vao-vong-binh-chon-ai-awards-2024-4776782-p2.html

5. [YouTube, 2025] iGot AI - Top 10 Qualcomm Vietnam Innovation Challenge 2025 (QVIC 2025) | https://www.youtube.com/watch?v=TrGGQBAcK6Y

6. [GitHub] iGOT AI · GitHub | https://github.com/igot-ai

7. [F6S] iGOT AI | F6S | https://www.f6s.com/company/igot-ai

8. [LinkedIn, 2026] iGOT.AI | LinkedIn | https://www.linkedin.com/company/igotai

9. [Grand View Research, 2024] Intelligent Process Automation Market Size Report, 2024-2030 | https://www.grandviewresearch.com/industry-analysis/intelligent-process-automation-ipa-market

10. [MarketsandMarkets, 2024] AI in Government Market - Global Forecast to 2030 | https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-government-market-139977094.html