Expand delivery capacity without expanding complexity.
Add accountable AI, product and cloud delivery capacity without immediately building a complete internal team.
Who this is for
- Agency founders and delivery directors
- CTOs and product-studio owners
- Fractional CTOs
- Consultants with implementation demand
The problem it solves
A new client requirement or AI request arrives before your team has the capacity or specialist skills to deliver it confidently.
Business outcome
Your client relationship. Our engineering delivery—under your brand or as a disclosed partner, with a named delivery owner.
Delivery models
Choose the model that fits the workstream.
Specialist support
Architecture, AI, backend, cloud or QA
Dedicated engineer
Ongoing product delivery
Small engineering pod
A complete feature or workstream
White-label pod
An agency-owned client relationship
Build–operate–handover
A new product or internal platform
Deliverables
What you receive.
Scoping
Scope and estimate support for your proposals
Architecture
Senior architecture review
Delivery
Engineering, AI integration, QA and DevOps support
Visibility
Reviewable milestones and defined responsibilities
Handover
Technical handover and documentation
Support
An ongoing support option
Not included
- Roles not in the agreed pod composition
- Direct client contact in white-label delivery, unless you agree
Delivery process
Typical timeline: 3 months minimum for dedicated models.
- 01
Brief under NDA
- 02
Agree the model, roles and overlap hours
- 03
Sign scope and responsibility matrix
- 04
Deliver in reviewable milestones
- 05
Hand over or continue monthly
Starting investment
- From ₹3.5 lakh per month
- From $5,000 per month
Starting price. The exact proposal follows a review of integrations, data, scope, security and team requirements. Taxes are additional as applicable.
Commercial terms
- Monthly billing in advance
- Minimum three-month commitment for dedicated models
- Written IP and confidentiality terms
Your responsibilities
- A named counterpart on your side
- Backlog and acceptance decisions
- Client communication in white-label delivery
Evidence and acceptance
Each milestone is reviewed against its agreed acceptance criteria; replacement and transition terms are documented in the agreement.
Demos, internal implementations and client cases are always labelled as such. Read the evidence policy.
Questions
- Will you contact our client directly?
- Only in a disclosed partnership. In white-label delivery, client communication goes through your team unless you agree otherwise.
- Who owns the code?
- Intellectual-property terms are written into the agreement before work starts.
Bring one workflow, product or engineering bottleneck.
Discuss a Delivery PartnershipClear scope. Reviewable delivery. Secure handover.
Other ways to start
Delivered with
AI Engineering · Software Engineering · Product Engineering · Cloud and DevOps · Data Engineering · Platform Engineering · Security and Identity · Quality Engineering