Technology companies carry a cost structure other industries don't: infrastructure spend is cost of goods sold, not overhead. Cloud bills scale with the product, SaaS stacks scale with the team, and both grow faster than anyone budgets during growth phases. Unravyl helps software companies, SaaS businesses, and technology services firms cut infrastructure and vendor spend — where every dollar saved lands directly on gross margin.
The cost categories that matter most.
Cloud infrastructure as COGS
For a software company, AWS, Azure, and GCP spend sits in cost of revenue. Idle compute, on-demand pricing on steady workloads, and commitment structures that lag the architecture all compress the gross margin that investors and boards watch most closely.
The internal SaaS stack
Technology teams adopt tools faster than any other industry — and rationalize them slower. Engineering, product, sales, and marketing each build their own stacks, and the portfolio compounds through every growth phase and every acquisition.
Usage-based vendor pricing
Observability, data pipelines, communications APIs, and AI services bill on consumption. Usage-based contracts that seemed trivial at signing scale with the product — and the pricing tiers, committed-use terms, and overage structures rarely get renegotiated as volume grows.
Seats that track hiring but not departures
License counts provisioned through growth phases persist through slowdowns and reductions. Post-restructuring license reconciliation is one of the most consistent savings findings at technology companies.
Acquired stack overlap
Acquisitions bring duplicate infrastructure, duplicate tooling, and parallel vendor contracts. Product integration gets the attention; vendor consolidation waits, and the parallel spend persists for years.
Connectivity, devices, and the operational layer
Offices, remote teams, device fleets, and the carrier and connectivity contracts underneath them — the unglamorous layer that accumulates the same waste here as in any industry, usually with even less attention.
Dev and test environments running around the clock — Non-production infrastructure running 24/7 for teams that work business hours. Scheduling alone routinely cuts those workloads' cost by more than half.
On-demand pricing on workloads that haven't moved in a year — Steady production workloads still paying on-demand rates, leaving 30 to 70 percent committed-use discounts unclaimed because reservation management belongs to nobody.
Observability and data tool bills growing faster than revenue — Consumption-billed tooling that scaled with data volume and product usage, on contract terms negotiated when volume was a fraction of current levels.
Tools adopted in a sprint, paid for indefinitely — Free tiers and team-level purchases that quietly became company-wide spend without ever passing through procurement, renewing on cards nobody reconciles.
Licenses provisioned for a headcount that changed — Seat counts that tracked the hiring plan up but never tracked the reductions down. The gap between licensed seats and active users widens with every reorganization.
Two of everything after the acquisition — Parallel cloud accounts, duplicate monitoring, overlapping collaboration and security stacks — still running side by side long after the deal closed.
What's different about working with technology companies.
Savings land on gross margin
Infrastructure cost reduction at a software company isn't overhead trimming — it moves the gross margin line that valuation multiples key on. We frame findings in margin terms so finance and the board see the impact where it matters.
Engineering owns the stack
We don't dictate architecture to engineering teams. Findings that touch infrastructure are framed as options with trade-offs — cost, effort, risk — for the engineering organization to evaluate. The commercial work — commitments, contracts, negotiation — we carry.
Growth-stage volatility is the planning reality
Headcount and usage at technology companies swing harder than anywhere else. Commitment structures, license agreements, and contract terms are recommended with that volatility priced in — flexibility is worth paying something for.
The vendor landscape moves fast
The tools change, pricing models change, and leverage windows open at renewals and funding events. We time negotiations to those windows rather than treating renewals as administrative events.
Where we work in technology.
SaaS companies — from growth-stage to established platforms
Software and product companies — commercial software across deployment models
IT services and MSPs — technology services firms with their own infrastructure and tooling stacks
Tech-enabled services — businesses where technology carries the service delivery
Data and AI companies — infrastructure-heavy businesses with consumption-billed pipelines
Marketplaces and platforms — transaction businesses with scale-sensitive infrastructure
The methodology is consistent across segments; the infrastructure economics and growth dynamics differ.
Frequently Asked Questions
We have engineers who watch our cloud spend — what do you add?
Engineering attention usually goes to architecture-level efficiency, and it should. What's typically missing is the commercial layer: commitment structures benchmarked against actual usage patterns, contract terms negotiated against market alternatives, and someone owning renewals across the whole vendor portfolio — not just the cloud bill. We complement the engineering work rather than repeating it.
Will you tell our engineering team to re-architect things?
No. Architecture decisions belong to your engineering organization. Where a finding touches infrastructure, we present it as an option with the cost, effort, and risk laid out — and we carry the commercial workstreams that don't require engineering time at all.
Can you work on usage-based contracts like observability and data tools?
Yes. Consumption-billed vendors are core scope — the tiering, committed-use terms, and overage structures on those contracts are among the most negotiable and least negotiated agreements at technology companies.
We just went through a reduction — is that a trigger for this work?
It's one of the most common ones. Headcount changes leave license counts, infrastructure sizing, and vendor commitments misaligned with the new reality. A structured reconciliation after a reorganization consistently produces fast, uncontroversial savings.
We're preparing for a raise or an exit — does this help?
Gross margin improvement is one of the most direct ways to affect how a software company is valued. Infrastructure and vendor cost reduction executed ahead of a raise or a sale process shows up exactly where diligence looks.
What size company is a fit?
The patterns appear from roughly 50-person companies upward. Below that, the engagement economics depend on a specific catalyst — a cloud bill that jumped, a major renewal, or an acquisition. We are honest about fit in the first conversation.
