Scattered tools do not add up to firm intelligence.
Research sits in documents. Decisions live in conversations. Market information arrives everywhere. Another isolated AI chat leaves your team to reconnect the context.
Open architecture intelligence for finance
Your context. Your judgment. Your way of working.
Bullard.ai offers optionality across the AI stack, helping financial firms harness AI while maintaining control of their data, people and automated workflows.
Starting with supervised financial diligence pilots.
01 / The approach
Research sits in documents. Decisions live in conversations. Market information arrives everywhere. Another isolated AI chat leaves your team to reconnect the context.
Bring the evidence, instructions and review process together. Bullard.ai is designed to combine AI, rules-based execution and human oversight around how your firm actually works.
Models will change. Your accumulated knowledge and investment process should not have to start over every time they do.
02 / From question to decision
An illustrative investment-review workflow.
Not a connected product demo or live activity.
What changed since our last investment review?
Illustrative workflow01 / Gather context
Bring the prior investment memo, internal research and relevant market updates into a shared context. Keep the source and date attached to each input.
Human checkpoint: confirm the scope and source access.
03 / The shared foundation
Four connected capabilities. One foundation for workflows that can grow with the firm.
Start with one workflowInternal firm context: documents, research and recorded decisions, organized to inform the next question.
External market context: surface relevant developments against the companies, themes and questions that matter.
Coordinate tools and instructions within agreed permissions, with review points before consequential actions.
Turn a defined process into repeatable work, with owners, monitoring criteria and a path back to human review.
Open by design
Choose models and infrastructure around the work, not the other way around. Keep a path to frontier or open models, private infrastructure, cloud or on-premise deployment.
Model support, integrations, data handling, hosting and deployment options are subject to technical assessment and agreed scope. Open architecture is a design principle, not a blanket implementation guarantee.
04 / Working together
A focused starting point.
A foundation for broader adoption.
Agree the question, source access, review owner and what a useful output should look like.
Start with supervised financial diligence. Evaluate the evidence and the workflow with your team.
Scope additional workflows around connected knowledge, shared controls and team needs.
A SaaS subscription, with implementation scoped separately. Setup, forward-deployed engineering, fine-tuning and hosting are agreed separately according to your requirements.
Let’s start with the work
Bring a recurring question, the sources behind it and the people who make the decision.
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