Private Equity and Venture Capital on AWS
PE and VC firms invest faster than portfolio engineering can keep up. We run senior-architect diligence, embed pods inside portfolio companies, and standardise landing zones, observability, and cost telemetry across the book. AWS Premier Partner. Strategic Collaboration Agreement for AWS funding across the portfolio.
Real engagements, real numbers. Where Armakuni has already shipped in this vertical.
Tech diligence on a deadline, mismatched stacks, value plans that ignore engineering, board reporting that takes weeks. We have unblocked all four.
Two weeks to a board recommendation. The target engineering organization is opaque. Existing diligence vendors deliver slide decks, not architecture verdicts a CTO can defend.
One company on legacy Rackspace, one on a half-baked Kubernetes setup, one on Heroku. No consistent landing zone, no shared cost model, no comparable engineering metrics.
100-day plans focused on revenue and pricing. Engineering left to the in-house team, who are already underwater. The plan stalls in month four.
Analysts pulling numbers from QuickBooks, Pendo, Datadog, and ten Looker dashboards into a deck the night before. No real-time portfolio view of cost, reliability, or AI readiness.
Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.
Portfolio modernization without engineering discipline turns into a long tail of half-finished projects. We run the AK Way across portfolio companies: standardized AWS landing zones, observable architecture, pipelined environments, and AI augmentation where it earns its place.
Speed-to-AWS is a value-creation lever. Our agentic migration tooling moves portfolio companies off legacy hosting in months, not years, with fixed scope and fixed price the deal team can underwrite.
When a portfolio company needs senior engineers fast, we embed named pods inside their team. Same standups, same repos, fixed scope. Knowledge transfers continuously, so the portfolio company runs everything we built when the engagement ends.
Board-ready reporting needs a portfolio data layer. We build the AWS-native data platform that pulls cost, reliability, AI readiness, and product metrics from each portfolio company into one place the operating team can actually use.
Portfolio companies need ops without hiring 24x7 SRE in-house. Our managed pods take ownership of platform reliability, security posture, and cost telemetry across the portfolio with one accountable interface for the operating partner.
Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.
Two-week diligence sprints with named senior architects. Architecture verdict, modernization cost model, and 100-day execution plan delivered to deal team in board-ready format.
Consistent landing zone, observability, IAM, and cost telemetry deployed across every portfolio company. Cross-portfolio benchmarking becomes possible.
AWS Migration Acceleration Program funding mapped against each portfolio company. Migration cost partially or fully offset by AWS funding pre-close.
Workshop-led GenAI use case discovery, then agentic implementations on Bedrock and AgentCore that compound value across portfolio companies in the same vertical.
Real-time portfolio dashboard for cost, reliability, AI readiness, security posture. Replace the night-before-board scramble with a live view.
Named pods inside portfolio companies executing against the 100-day plan, with senior architects on call for design reviews and cross-portfolio standardization.
Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.
Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.
Procurement-grade controls available on request. We run engagements under these regimes routinely.
Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.