Custom Innovation Platforms
Tailored innovation management systems built for your unique workflows, approval processes, and governance requirements. Think AI Innovation Engine, but designed specifically for your enterprise.
Custom AI Solutions for Unique Challenges
When off-the-shelf does not fit, we build bespoke AI platforms tailored to your enterprise's specific innovation needs.
What We Build
Custom AI solutions for enterprise-specific requirements
Industry-Specific Tools
Domain-specific AI solutions for regulated industries—financial services, healthcare, insurance. Built with compliance, audit trails, and risk management requirements from day one.
Integration Solutions
Custom AI workflows that integrate seamlessly with your legacy systems. RAG pipelines, knowledge retrieval, process automation, and decision support tools that fit your existing tech stack.
How We Work
From scoping to production deployment
2-4 weeks
Scoping
Deep discovery to understand your specific requirements, technical constraints, integration needs, and success criteria. We document requirements, define scope boundaries, and align on deliverables.
Deliverables
- Requirements specification
- Technical architecture proposal
- Integration assessment
- Fixed-price scope and timeline
3-5 weeks
Design
User experience design, technical architecture definition, security and compliance reviews, and prototype development. We validate design decisions with your stakeholders before building.
Deliverables
- UX wireframes and design mockups
- Technical architecture document
- Security and compliance review
- Interactive prototype
8-16 weeks
Development
Iterative development with bi-weekly check-ins. You see progress every sprint. We adapt to feedback and changing requirements without derailing the project.
Deliverables
- Working software (incremental releases)
- Integration with your systems
- Automated testing suite
- Technical documentation
2-4 weeks
Deployment
Production deployment with documentation, training, and handoff. We stay engaged post-launch to ensure smooth adoption and address any issues that arise.
Deliverables
- Production deployment
- User training and documentation
- Admin training and runbooks
- Post-launch support period
2-4 weeks
Scoping
Deep discovery to understand your specific requirements, technical constraints, integration needs, and success criteria. We document requirements, define scope boundaries, and align on deliverables.
Deliverables
- Requirements specification
- Technical architecture proposal
- Integration assessment
- Fixed-price scope and timeline
3-5 weeks
Design
User experience design, technical architecture definition, security and compliance reviews, and prototype development. We validate design decisions with your stakeholders before building.
Deliverables
- UX wireframes and design mockups
- Technical architecture document
- Security and compliance review
- Interactive prototype
8-16 weeks
Development
Iterative development with bi-weekly check-ins. You see progress every sprint. We adapt to feedback and changing requirements without derailing the project.
Deliverables
- Working software (incremental releases)
- Integration with your systems
- Automated testing suite
- Technical documentation
2-4 weeks
Deployment
Production deployment with documentation, training, and handoff. We stay engaged post-launch to ensure smooth adoption and address any issues that arise.
Deliverables
- Production deployment
- User training and documentation
- Admin training and runbooks
- Post-launch support period
Governance & Compliance
Built for enterprise risk management
Enterprise security standards (SOC 2, ISO 27001)
Data governance and privacy compliance (GDPR, CCPA, HIPAA)
Audit trails and explainability for regulatory requirements
Role-based access control and approval workflows
Custom Solutions That Ship
16 Weeks to Production
A global consulting firm needed a custom innovation platform integrated with their existing Salesforce, ServiceNow, and legacy systems. We delivered a bespoke solution in 16 weeks—now managing 200+ innovation initiatives across 8 countries.
Read Case StudiesCommon Questions
How long does a typical engagement take?
Most bespoke AI projects take 4-6 months from kickoff to production deployment. Smaller integrations can be 6-8 weeks. Complex multi-system platforms can extend to 9-12 months. We provide fixed timelines after scoping.
What if requirements change mid-project?
They always do. We use an iterative development approach with bi-weekly check-ins, allowing you to course-correct without derailing the project. Major scope changes trigger a formal change request process with timeline/budget impact assessment.
Do we own the code?
Yes. All custom code, models, and intellectual property developed for your project become your property upon final payment. We retain the right to reuse general frameworks and approaches (not your specific implementation).
What about post-launch support?
Every project includes 30-90 days of post-launch support (scope-dependent). After that, you can opt for ongoing maintenance retainers, on-demand support, or self-manage. We provide full documentation and knowledge transfer for internal teams.
Discuss Your Requirements
Let's explore whether a bespoke AI solution is right for your specific challenges.