Add Engineering Capacity Without Losing Clarity or Control
Sometimes the roadmap is clear and the constraint is people. Kramora provides individual specialists and focused engineering pods that work inside your planning, tools and standards. Roles, reporting lines, communication routines and quality expectations are agreed before anyone writes code. You keep product direction, while Kramora takes responsibility for the people it places, their onboarding and their continued fit with your team.
What We Deliver
Individual specialists
Experienced engineers added to your existing team to close a specific skill gap or relieve a delivery bottleneck.
- Senior backend engineer for an API rebuild
- Frontend specialist for a design system
- Mobile developer for a new app release
Dedicated product pods
A small cross-functional group that owns a defined product area or roadmap stream and works through your planning cadence.
- Feature team for a new module
- Platform modernization stream
- Integration and API squad
QA & test engineering
Manual and automated testing capacity that strengthens release confidence without slowing delivery.
- Test automation frameworks
- Regression suites for legacy code
- Release readiness testing
AI & data engineers
Engineers for model integration, retrieval systems, data pipelines and analytics, working with your product and data owners.
- RAG and LLM integration
- Data pipeline development
- Model evaluation and monitoring
Backend & frontend engineering
Application developers across common web and service stacks, aligned to your coding standards and review practices.
- React and Next.js interfaces
- Node.js, Python, .NET and Java services
- API and microservice development
DevOps & platform engineers
Specialists who maintain pipelines, infrastructure as code and observability alongside your developers.
- CI/CD pipeline ownership
- Terraform and Kubernetes work
- Monitoring and incident support
Onboarding & governance
A structured onboarding plan, access setup, delivery checkpoints and regular reviews of fit and performance.
- Onboarding checklists
- Delivery checkpoint reviews
- Engagement health checks
Business Problems & Meaningful Outcomes
Solution Architecture
Illustrative reference model showing how a dedicated team connects to your planning, delivery and governance routines.
Each engagement names a point of contact on both sides, with agreed channels for daily work, escalation and planning. Engineers attend your ceremonies directly.
Access to repositories, environments and data follows least-privilege principles and is granted through your identity systems. Confidentiality terms and device or network requirements are agreed before onboarding.
Engineers adopt your coding standards, branching strategy, definition of done and documentation practices, so their work fits your codebase and review process.
How We Work
Understand the roadmap, current team, skill gaps and how work is planned and reviewed today.
- Role and skill profiles
- Collaboration and reporting model
- Engagement scope and assumptions
Shape team composition, onboarding and governance routines around your existing delivery process.
- Team composition proposal
- Onboarding plan
- Governance and review cadence
Engineers deliver within your sprints while early checkpoints confirm fit, pace and quality.
- Working increments in your repositories
- Early fit reviews
- Composition adjustments where needed
Scale the team up or down as priorities change, with knowledge transfer planned for every transition.
- Documented handovers
- Engagement health reviews
- Updated capacity plan
Technology Choices
Example Scenarios
A product pod for a customer portal
An insurer has a capable internal platform team but no capacity to build the customer self-service portal the business has prioritized.
Kramora would propose a small pod with frontend, backend and QA skills, working through the insurer's sprint process and architecture standards. The insurer's product owner would set priorities, and the pod would document decisions so internal engineers can take over parts of the portal over time.
AI specialists inside an existing team
A software company wants to add retrieval-based search and AI assistance to its product. Its engineering team is strong but has little experience evaluating and operating language models.
Kramora would place AI engineers inside the existing team to design retrieval, evaluation and guardrails together with internal developers. Pairing and design reviews would build the team's own capability, so the specialists can step back once the feature is stable.
Frequently Asked Questions
The starting timeline depends on scope, required expertise and availability. After an initial conversation about roles and context, Kramora proposes a realistic selection and onboarding plan instead of a generic start date.
Related Solutions
Adjacent Services
Industries We Serve
Tell us about your challenge.
Share what you are trying to achieve with dedicated teams and the systems involved. We will suggest a practical next step.