A multi-agent research product that turns a strategic question into a sourced market report, competitor assessment and decision brief.

 

Building market intelligence and automated research on AWS. AI market intelligence that connects research to decisions.

BA Tech is developing an AI Market Intelligence Platform that brings research, market monitoring and decision support into a connected software product.

Owned and developed by BA Tech, the platform combines specialist AI agents, evidence management and cloud infrastructure to help organisations understand changing markets, assess opportunities and make informed decisions.

Our product vision extends beyond individual reports. We are building towards an intelligence workspace where organisations can ask strategic questions, examine supporting evidence and maintain an evolving understanding of the markets that matter to them.

From occasional research to continuous intelligence

Market research often begins with a question and ends with a document. As conditions change, teams repeat searches, revisit assumptions and rebuild their analysis.

BA Tech’s platform is designed to make that knowledge reusable. Research briefs, source material, competitor records and analytical findings form a connected evidence base that can support new questions and subsequent updates.

The direction is continuous market intelligence: helping organisations understand what has changed, why it matters and which decisions deserve attention.

A coordinated research workflow

Users define their objectives, market, geography, audience and decision context. Specialist agents organise the research into focused activities, working against a shared brief and analytical framework.

The workflow brings together source discovery, evidence assessment, competitor analysis, market sizing and insight synthesis. Human review provides a point to challenge assumptions, assess findings and approve outputs.

Each research project is intended to contribute to a growing organisational knowledge base, making future analysis more consistent and easier to update.

Specialist agents with clear responsibilities

Research planning agents translate strategic questions into objectives, work packages and source priorities.

Discovery agents locate relevant publications, company information, datasets and market evidence.

Evidence assessment agents examine source relevance, authority, currency and consistency.

Competitor intelligence agents structure comparisons of propositions, customer segments, capabilities and positioning.

Quantitative analysis agents organise numerical evidence, calculations and assumptions into transparent scenarios.

Synthesis agents connect findings across themes and develop implications and decision options.

Reporting agents assemble briefs, references and supporting material into a consistent format for review.

This division of responsibilities supports focused analysis while maintaining shared context across the research process.

Evidence at the centre of the product

The platform’s design connects analytical claims to their supporting material. Source references, retrieval dates and assumptions provide the context reviewers need to assess a finding.

Our development approach distinguishes sourced facts from estimates and interpretation. Where information is incomplete or conflicting, the research should make that uncertainty visible.

The goal is to help users understand how an insight was reached and judge whether the evidence is sufficient for their decision.

Cloud engineering on AWS

BA Tech’s existing AWS environment provides an engineering foundation for containerised analytical workloads and continued product development.

Amazon Elastic Container Service runs background workers, while Amazon Elastic Container Registry stores versioned application images. Amazon CloudWatch Logs provides visibility into processing activity and errors. AWS Secrets Manager and IAM support credential management and controlled service access.

Building on this foundation, our architecture direction separates user interaction, research coordination, data collection and analytical processing. This allows components to evolve independently as research requirements and usage grow.

Continued cloud development will focus on persistent research storage, recoverable workflows, concurrent processing and measurable operating costs.

Designed for growing research demands

The platform is being developed around the needs of organisations working across multiple sectors, markets and geographies.

Its architectural direction includes shared project workspaces, reusable research frameworks, structured evidence storage and retrieval across previous findings. Longer-running tasks can be handled by background services while users review progress and refine the scope.

Model evaluation will guide the selection of AI services for planning, extraction and synthesis. Managed services, including Amazon Bedrock, form part of the options we intend to assess as the product develops.

An intelligence workspace for organisations

The product roadmap brings together several connected capabilities:

• Strategic research: Turn a defined question into a structured investigation and decision brief.

• Competitor intelligence: Maintain comparable records of organisations, offerings and positioning.

• Market monitoring: Identify relevant changes and connect them to existing research.

• Scenario analysis: Explore assumptions, market-sizing estimates and possible outcomes.

• Knowledge reuse: Retrieve evidence and findings from earlier projects.

• Collaborative review: Give teams a shared place to assess sources, refine analysis and approve outputs.

These capabilities are intended to support strategy teams, technology organisations, government agencies, investors and advisory firms with recurring intelligence needs.

Research and development priorities

BA Tech’s development programme focuses on research quality, dependable agent coordination and practical usability.

Evaluation will assess source relevance, citation accuracy, analytical coverage and the handling of uncertain evidence. Engineering work will address interrupted tasks, retries, access controls and recovery of research state.

Performance and cost measurement will help establish how the platform can support more users and larger research workloads sustainably.

A product built for recurring use

Our commercial direction is an organisational software offering that supports ongoing research and intelligence workflows.

Planned subscription access would allow teams to maintain research projects, revisit evidence and update analysis as their requirements evolve. Project-based research and advisory-supported delivery would complement that recurring use.

The long-term objective is to make evidence-backed market intelligence a practical part of everyday organisational decision-making.

Explore the product with BA Tech

Contact BA Tech to discuss your market intelligence requirements, product direction and opportunities to contribute to future evaluation.

Frequently asked questions

What is the AI Market Intelligence Platform?

It is a BA Tech-owned software product being developed to connect specialist AI research agents, market information, evidence management and decision support.

How does it support trustworthy research?

Its design preserves supporting references and assumptions, distinguishes evidence from interpretation and incorporates human review.

What role does AWS play?

BA Tech uses AWS for containerised analytical workloads, versioned software deployment, operational logging and service access management. This environment provides a foundation for further product development.

What is the long-term product vision?

A shared intelligence workspace where organisations can research questions, monitor relevant changes and reuse an evolving evidence base across decisions.

Who is the platform designed for?

Organisations with recurring market, competitor and sector research needs, including strategy teams, technology organisations, government agencies, investors and advisory firms.