Project Helix
Net-new $35M committed contract. Greenfield close.
Built a strategic partnership from zero to a $35M three-year committed contract over 18 months on a customer with no prior commitment to AWS.
Customer
Mid-stage open-source data infrastructure ISV. Series-C-stage, 9-figure private valuation, hundreds of employees, mid-9-figure ARR. Verticals: Industrial IoT, financial services, gaming, SaaS.
The Challenge
No prior committed spend. AWS was a utility provider: on-demand consumption, no Enterprise Support, no co-sell, no executive engagement. The customer's marketing benchmarked their platform as significantly faster than several AWS-native data services across query speed and ingest throughput. Internal AWS service teams viewed the customer as a competitor. Building internal alignment was a prerequisite to any strategic engagement.
The Approach
- 1
Patient relationship building before any commercial ask
Spent the first ten months on discovery and trust-building. Got to know the customer's product roadmap, financial trajectory, and competitive worldview. Mapped the internal AWS landscape and identified service team GMs whose roadmaps overlapped with the customer's strategy. By the time formal engagement opened, both sides knew exactly what value a partnership would create.
- 2
Full C-suite EBC with internal AWS pre-alignment
Organized a full-day Executive Briefing Center session with the customer's CEO, CTO, CFO, CRO, and Head of Partnerships. AWS brought executive sponsors, multiple service team GMs (data, analytics, IoT), and partner organization leadership. A pre-EBC Roadmap Transparency Review aligned the customer's CTO with AWS service teams before the main event, converting internal skeptics into active collaborators in person.
- 3
Mid-8-figure revenue uplift model, not a discount conversation
Commissioned a Business Transformation + Value Advisor to build a three-year financial integration model quantifying the AWS partnership's impact on the customer's topline. Base case: a mid-8-figure cumulative revenue uplift over three years (~8% lift on the customer's existing revenue base). Risk-adjusted at 80% confidence. Pessimistic downside still ROI-positive. Benchmarked against open-source-native database peers that achieved 30 to 47% growth during peak hyperscaler integration, making projections 3 to 5× more conservative than proven comps.
- 4
Multi-track parallel execution
ISV Accelerate (AWS partner program for ISV co-sell), Strategic Collaboration Agreement, committed contract, and GTM tracks ran in parallel with defined milestones across the engagement window. ISV Accelerate qualification unlocked co-sell motions. The SCA created the partnership framework. The committed contract captured commercial commitment. Parallel execution prevented sequential bottlenecks once the partnership context was set.
- 5
Co-innovation roadmap turned competitive tension into pull
Mapped direct integration paths between the customer's platform and AWS services, creating mutual product dependency: a generative-AI service integration moved to GA, a joint data-lake architecture using open table formats, and a managed ML platform integration. Secured an AWS speaker slot at the customer's Sales Kickoff, embedding AWS into the customer's GTM narrative.
Timeline
- Mo 1-10Discovery and pre-engagement trust-building. Mapped customer roadmap, financial trajectory, and AWS service-team overlaps.
- Mo 11EBC planning initiated. Pre-EBC roadmap transparency sessions with service team GMs.
- Mo 12Full-day EBC executed with customer C-suite. Contract demand plan confirmed.
- Mo 13AWS internal approvals initiated. Term sheet to customer.
- Mo 14-15Customer paper process. Parallel SCA workbook development.
- Mo 16ISV Accelerate qualification achieved. Mid-8-figure Integration Strategy model delivered.
- Mo 17AWS speaker at customer Sales Kickoff. SCA intake submitted.
- Mo 18Committed contract signed: 3-year $35M at 12.5% flat CSD. Enterprise Support enrolled. Reference rights granted.
The Outcome
Net-new $35M three-year committed contract at 12.5% flat CSD. Enterprise Support enrolled at signing. ISV Accelerate qualified. SCA signed (Co-Build, Co-Sell, Co-Market). Revenue opportunity model accepted by customer CFO. C-suite engagement (CEO, CTO, CFO, CRO, Head of Partnerships) sustained through close.
Lessons for Replication
- 01
Build the partnership before the contract
The contract was the last step, not the first. Eighteen months of discovery, EBC, roadmap transparency, ISV Accelerate qualification, SCA, co-innovation roadmap, and the revenue model all preceded the commercial ask. By the time the term sheet arrived, the customer had already invested significant C-suite time. The contract was the natural conclusion, not a cold proposal.
- 02
Model the customer's revenue, not their spend
Changed the conversation from 'how much do we spend on AWS' to 'how much revenue does AWS generate for us.' Conservative benchmarks (3 to 5× more conservative than proven comps) with downside protection. CFOs respond to revenue models with risk adjustments, not discount spreadsheets.
- 03
Turn competitive tension into co-innovation
The customer's product directly competed with several AWS-native services. Rather than avoiding the tension, mapped co-build opportunities across generative AI, open data formats, and ML platforms. Competitive friction became co-innovation pull.
- 04
Run parallel tracks once the partnership context is set
ISV Accelerate, SCA, contract, and GTM tracks ran simultaneously in the back half of the engagement. Once trust was established, parallel execution prevented sequential delays that would have stretched commercial close by another six to nine months.
- 05
Use the EBC to convert internal skeptics
AWS service teams viewed the customer as a competitive threat. The EBC brought those service team GMs face-to-face with the customer's CTO, converting theoretical competitive tension into concrete co-build opportunities. Internal alignment is a prerequisite to external partnership.
Expansion Pipeline
- →Generative-AI service GA integration: customer platform as default operational serving layer for AI/ML on AWS.
- →Joint open-table-format data-lake architecture as a modern data standard across customer verticals.
- →AWS Marketplace listing: enterprise buyers purchase the customer's platform with pre-committed AWS credits.
- →Co-sell expansion: ISV Accelerate leverage across industrial IoT and financial services.
- →Renewal targeting expansion to a low-9-figure total commitment.