Challenge
The startup founders didn't arrive with a technical specification, but they did have valuable market insight from both research and personal experience. Marketing departments at growing B2B companies are often bottlenecked not by talent, but by the absence of the right systems.
Even the most skilled marketers still have to spend hours on research that could run in minutes. Institutional knowledge doesn't transfer. And new hires take months to reach the output quality of experienced team members.
The goal was to build a SaaS product that fixes this: something a marketing team could adopt without a technical background, that would reflect their own way of working rather than imposing a generic AI default.
The startup founders didn't arrive with a technical specification, but they did have valuable market insight from both research and personal experience. Marketing departments at growing B2B companies are often bottlenecked not by talent, but by the absence of the right systems.
Even the most skilled marketers still have to spend hours on research that could run in minutes. Institutional knowledge doesn't transfer. And new hires take months to reach the output quality of experienced team members.
The goal was to build a SaaS product that fixes this: something a marketing team could adopt without a technical background, that would reflect their own way of working rather than imposing a generic AI default.
Solution
Before engaging Brights, the founders conducted thorough research on competitors. Our role was to validate assumptions and identify structural gaps.
We found that many tools supported content generation or campaign management. Yet fewer systems translated a team’s internal methodology into structured, repeatable workflows. Flexible prompt interfaces were common; workflow-driven execution models were less widespread.
This insight shaped the product decisions:
- A workflow builder designed to formalize team-specific processes
- A contextual research layer combining public sources and company data
- A technical stack prepared for multi-tenant SaaS scalability
Before building the platform, we worked with the founders to define the product requirements in practical terms: which tasks to support, how methodology should be captured and applied, and what high-quality output means in daily workflows. This discovery phase shaped the platform’s architecture.
Before engaging Brights, the founders conducted thorough research on competitors. Our role was to validate assumptions and identify structural gaps.
We found that many tools supported content generation or campaign management. Yet fewer systems translated a team’s internal methodology into structured, repeatable workflows. Flexible prompt interfaces were common; workflow-driven execution models were less widespread.
This insight shaped the product decisions:
- A workflow builder designed to formalize team-specific processes
- A contextual research layer combining public sources and company data
- A technical stack prepared for multi-tenant SaaS scalability
Before building the platform, we worked with the founders to define the product requirements in practical terms: which tasks to support, how methodology should be captured and applied, and what high-quality output means in daily workflows. This discovery phase shaped the platform’s architecture.
Results
Here's how the key functionality works in practice.
No-code AI workflow builder
Users fill out a short, structured form, specifying audience, goal, tone, and campaign context. The platform handles the rest.
Behind each workflow is a structured prompt and task sequence designed to reflect common marketing processes. This removes the need for prompt engineering or deep AI expertise.
Automated context assembly
When a team initiates a new campaign or product launch, the platform collects contextual information from public sources and connected systems (where available), including company positioning, recent content, and competitor signals.
Company profile & contextual onboarding
When a new company joins the platform, the system can assemble a contextual profile using publicly available information and connected tools. This profile informs workflow recommendations and helps personalize the platform experience for each organization.
Specialized AI agents
Specialized AI agents handle different stages of workflow execution, such as gathering context, applying analytical frameworks, or formatting outputs. These agents work within predefined workflow structures rather than relying on a single open-ended prompt.
Long-term memory
The platform stores structured context across sessions, such as preferred formats and recurring inputs. This way, outputs become more relevant over time for each team.
Branded output layer
The platform generates campaign reports, competitive summaries, and briefs that can be shared directly with stakeholders or clients, in the team's own visual identity. What was previously a manual research process becomes a shareable, repeatable deliverable.
30+ integrations
The platform connects with the tools marketing teams already use: CRM and content management systems, communication platforms, and analytics. It fits into existing workflows rather than sitting alongside them.
Here's how the key functionality works in practice.
No-code AI workflow builder
Users fill out a short, structured form, specifying audience, goal, tone, and campaign context. The platform handles the rest.
Behind each workflow is a structured prompt and task sequence designed to reflect common marketing processes. This removes the need for prompt engineering or deep AI expertise.
Automated context assembly
When a team initiates a new campaign or product launch, the platform collects contextual information from public sources and connected systems (where available), including company positioning, recent content, and competitor signals.
Company profile & contextual onboarding
When a new company joins the platform, the system can assemble a contextual profile using publicly available information and connected tools. This profile informs workflow recommendations and helps personalize the platform experience for each organization.
Specialized AI agents
Specialized AI agents handle different stages of workflow execution, such as gathering context, applying analytical frameworks, or formatting outputs. These agents work within predefined workflow structures rather than relying on a single open-ended prompt.
Long-term memory
The platform stores structured context across sessions, such as preferred formats and recurring inputs. This way, outputs become more relevant over time for each team.
Branded output layer
The platform generates campaign reports, competitive summaries, and briefs that can be shared directly with stakeholders or clients, in the team's own visual identity. What was previously a manual research process becomes a shareable, repeatable deliverable.
30+ integrations
The platform connects with the tools marketing teams already use: CRM and content management systems, communication platforms, and analytics. It fits into existing workflows rather than sitting alongside them.
