Flexible Engagement for Real Business Needs
We adapt to each client’s goals, processes, and scale. Whether you need a fully managed solution, an expert team, or just a push in the right direction, we offer flexible models that make collaboration simple and effective.
Engagement Models We Offer
Product as a Service
We take ownership of the full product lifecycle—from idea to deployment to long-term support. This model is ideal when you need a complete AI or analytics solution but don’t want to build or maintain it internally. You define the outcome, and we deliver it as a reliable, scalable service.
Best for: companies seeking turnkey AI/ML products or platforms without managing infrastructure or in-house teams.
Project-Based Delivery
You define the problem—we handle everything else. With this model, we agree on the scope, timeline, and outcomes, then deliver a complete solution. From proof-of-concept to deployment, it’s a focused way to solve specific business challenges using AI and analytics.
Best for: clear, time-bound initiatives with defined goals and budgets.
Dedicated Team
We build a cross-functional team tailored to your project needs: data scientists, ML engineers, product managers, and more. The team works closely with your in-house staff, using shared tools, goals, and communication channels, with flexibility to scale up or down as needed.
Best for: long-term collaboration, fast scaling, or when in-house resources are limited.
Offshore & Hybrid Development
Lower costs, broader expertise. We offer offshore teams for full or partial project delivery, or combine on-site consulting with remote execution. Our hybrid model keeps communication tight while benefiting from global efficiency and flexibility.
Best for: cost-sensitive projects or global companies looking for 24/7 development coverage.
How Collaboration Works
Whether we’re building a full product or embedding into your existing team, our process is designed to keep things clear, collaborative, and outcome-focused. We combine technical expertise with business understanding to make sure every step leads to measurable value.
1. Discovery & Scoping
We begin by learning about your business, your current challenges, and what success looks like for you. Through workshops, stakeholder interviews, and system reviews, we explore how AI, ML, or analytics can create real impact in your context.
Deliverables may include: problem framing, technical feasibility notes, initial solution ideas, and risk/opportunity mapping.
2. Proposal & Planning
Once we understand your goals, we shape a clear plan. This includes choosing the right engagement model (e.g. dedicated team or project-based), defining the roadmap, allocating resources, and aligning on timelines and KPIs.
What you get: a detailed proposal, project timeline, success criteria, and transparent cost structure—so we’re on the same page from the start.
3. Execution & Delivery
Our team begins development using agile methodologies, with regular syncs, demos, and checkpoints. You’ll have visibility into progress at all times. We adapt to feedback quickly and maintain close collaboration through shared tools and dedicated communication channels.
Tools we use: Git, Slack, Jira, Notion, custom dashboards for tracking model performance or delivery status.
4. Review & Optimization
After the initial delivery or launch, we review performance data, business outcomes, and user feedback. From there, we fine-tune the model, retrain with fresh data if needed, and ensure everything is stable, efficient, and ready to scale.
Focus areas: performance, accuracy, user satisfaction, integration quality, and ROI.
5. Ongoing Support & Scaling (Optional)
If you need ongoing help, we can continue maintaining the solution, updating models, and providing technical support. We also assist in handing over code, documentation, and training your internal teams if full ownership is your end goal.
Support options: monitoring, retraining, adding new features, cloud optimization, handover packages, or team workshops.