Desktop Application for Brand Strategy

Audience Research, Grounded in Evidence.

Pumila accelerates market research through verifiable automation. Provide a query to generate an audience-targeting dossier backed by a multi-tiered evidence trail, multimodal grounding, and data from authenticated industry sources.

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Operates securely with integrations across YouGov, Deloitte Insights, McKinsey, NAHREP, Semrush, and Similarweb.

Pumila.ai System Interface

"Identify emergent Gen-Z purchasing trends for small-batch tequila within the DMV demographic."
Gen-Z Cohort
DMV Market
YouGov Telemetry
Consulting Analysis
Local Indicators

Audience Targeting Dossier

Executive Summary compiled.

Parallel extraction protocols resolve queries through headless crawling, session authentication, and multimodal synthesis.

  • Source-tier classification (Internal / Syndicated / Published)
  • Audience entity mapping with confidence intervals
  • Structured findings, actions, and unresolved vectors
Multimodal GroundingEvery citation maintains an evidence trail. The system captures and base64-encodes screenshots of source documents at runtime, providing visual provenance for model claims.
Authenticated AutomationA dedicated local process securely drives authenticated sessions. By operating within the desktop environment, it utilizes existing valid state while keeping credentials isolated.
Structured OutputDeliverables are formatted as a quantitative report with source-tier segments, ready for direct integration into organizational knowledge bases.

Core Capabilities

End-to-end research automation.

Pumila is engineered to compress data collection cycles while strictly enforcing citation accuracy through multimodal verification and localized automation.

01

Multimodal Pipeline

The extraction architecture converts headless page captures into serialized image blocks. The backend model validates text claims against the visual layout, mitigating hallucination vectors.

02

Interactive Knowledge Graph

Entity relationships are mapped dynamically via custom SVG implementations. The interface visualizes correlations between audience segments, external signals, and source tiers.

03

Schema-First Processing

Language model operations adhere strictly to predefined JSON specifications. Custom parsers coerce responses to enforce valid typing, normalized confidence scoring, and predictable application states.

System Architecture

Distributed infrastructure, local execution.

Authenticated enterprise intelligence platforms reject data center scraping. Pumila mitigates this constraint through a secure desktop environment with isolated credentials.

Desktop-Native Execution

Built using Electron, React 19, and TypeScript. Pumila orchestrates a headless driver instance on the host machine, leveraging standard residential IP ranges.

Credential Isolation

Cognito handles identity management within the application layer. Sensitive JWTs and external session variables are secured directly within the OS keychain via safeStorage APIs.

Serverless Orchestration

AWS infrastructure handles macro operations. A CDK v2 stack provisions DynamoDB datastores and Lambda functions to invoke external APIs and handle multimodal synthesis concurrently.

Architecture Sequence

Extraction → Orchestration → Synthesis.

The application divides workloads across mutually isolated boundaries, connecting automated local interaction nodes to scalable serverless endpoints.

Supported Integrations

Compatibility across enterprise data lakes.

Deloitte Insights
McKinsey & Company
NAHREP
YouGov Panel Data
Semrush Telemetry
Similarweb Analytics
Google Aggregation
Local Storage

Operational Scenarios

Deployment applications.

Audience Targeting

Synthesize regional data, firmographics, and behavioral metrics into a structured demographic profile backed by primary and syndicated research.

Market Gap Analysis

Utilize the visual knowledge graph to trace relationships between audience shifts, messaging fatigue, and competitor actions across isolated data silos.

Executive Briefings

Produce standardized output containing confidence metrics, source diversity charts, and inline citations suitable for immediate stakeholder review.

Deployment

Consolidate the research pipeline.

Deploy a verifiable, distributed architecture that integrates public extraction, authenticated scraping, and enterprise orchestration into one desktop surface.

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Technical FAQ

Implementation Details

How is citation integrity maintained?

The system utilizes a multimodal validation step. Captured DOM text is corroborated against base64-encoded interface segments, ensuring language models literally evaluate the visual context of the claim.

Why utilize an Electron environment?

Syndicated research panels and enterprise authentication systems actively block cloud IP requests. A desktop application facilitates secure scraping and browser automation directly from within an approved residential or corporate network.

What prevents invalid LLM output structures?

We favor strict state-machine coercion over loose prompt engineering. API integrations enforce a rigid JSON schema, and subsequent parsing handlers reject or normalize malformed payloads before they affect application state.