DeepSee

Name: DeepSee
Brand: DeepSee

Turning information into knowledge and knowledge into action.

Est 2019|Valuation $47M|Raised $21.8M|5 Ref Customers

LinkedIn 3K|Web traffic 4K|FTEs 29|HQ Draper, UT

01Competitive Landscape

Narrative analysis: where alternatives may excel

- UiPath / Automation Anywhere: Often selected when the primary problems are deterministic UI automation across legacy apps (e.g., Citrix, thick clients) and when an organization already has an RPA Center of Excellence. - Microsoft Power Automate: Can be more cost-effective for Microsoft-first organizations and simpler workflow automation scenarios. - IDP vendors (ABBYY, Hyperscience): May be preferable when the primary challenge is high-volume document ingestion/extraction with strong human review tooling. - Dataiku: May be preferable if a buyer seeks a unified data science, governance, and generative AI enablement platform across many financial-services use cases rather than only operations workflows.

Adoption signals

A partner investment and deployment announcement is the most concrete adoption indicator in public sources.
Accelerator recognition suggests focus on certain segments (e.g., community banking), but not broad deployment proof on its own.

	DeepSee	UiPath	Automation Anywhere
Starting Price	Not publicly listed (demo-led)	Typically enterprise / per-robot and platform licensing (quote-based)	Typically enterprise / platform licensing (quote-based)
Suitable For	Financial services operations workflows needing agentic orchestration, governance, and integration (especially email-driven operations)	Broad enterprise automation programs needing mature orchestration, ecosystem, and established RPA patterns	Enterprises seeking cloud-native RPA with vendor messaging around agentic capabilities
Key Strength	Vertical positioning in financial services; control-plane framing; partner validation through strategic relationships	Large ecosystem, strong orchestration footprint, mature RPA patterns	Strong RPA footprint; cloud-native positioning; marketing emphasis on AI/agents
Key Weakness	Limited public documentation and limited independent reviews; pricing opacity	Community complaints about brittleness/maintenance for UI automation; skepticism about AI transitions	Community reports of implementation challenges and skepticism about agent maturity

01Competitive Landscape

Narrative analysis: where alternatives may excel

UiPath / Automation Anywhere: Often selected when the primary problems are deterministic UI automation across legacy apps (e.g., Citrix, thick clients) and when an organization already has an RPA Center of Excellence.
Microsoft Power Automate: Can be more cost-effective for Microsoft-first organizations and simpler workflow automation scenarios.
IDP vendors (ABBYY, Hyperscience): May be preferable when the primary challenge is high-volume document ingestion/extraction with strong human review tooling.
Dataiku: May be preferable if a buyer seeks a unified data science, governance, and generative AI enablement platform across many financial-services use cases rather than only operations workflows.

Adoption signals

A partner investment and deployment announcement is the most concrete adoption indicator in public sources.
Accelerator recognition suggests focus on certain segments (e.g., community banking), but not broad deployment proof on its own.

	DeepSee	UiPath	Automation Anywhere
Starting Price	Not publicly listed (demo-led)	Typically enterprise / per-robot and platform licensing (quote-based)	Typically enterprise / platform licensing (quote-based)
Suitable For	Financial services operations workflows needing agentic orchestration, governance, and integration (especially email-driven operations)	Broad enterprise automation programs needing mature orchestration, ecosystem, and established RPA patterns	Enterprises seeking cloud-native RPA with vendor messaging around agentic capabilities
Key Strength	Vertical positioning in financial services; control-plane framing; partner validation through strategic relationships	Large ecosystem, strong orchestration footprint, mature RPA patterns	Strong RPA footprint; cloud-native positioning; marketing emphasis on AI/agents
Key Weakness	Limited public documentation and limited independent reviews; pricing opacity	Community complaints about brittleness/maintenance for UI automation; skepticism about AI transitions	Community reports of implementation challenges and skepticism about agent maturity

DeepSee

01Competitive Landscape

Narrative analysis: where alternatives may excel

Adoption signals

02Market Map

01Competitive Landscape

Narrative analysis: where alternatives may excel

Adoption signals

02Market Map