A network firm for the agent era.
Every prior wave of enterprise technology produced its own generation of services firms that learned how to ship it. clus.ai is built for this wave.
The thesis
Deploying AI agents inside large enterprises is fundamentally a people and change-management problem, not only a technical one. Legacy systems, fragmented data, undocumented workflows, and the need to keep the business running during transformation create implementation work that platforms alone cannot solve.
The platform vendors know this, which is why Salesforce, OpenAI, ElevenLabs, and others have all stood up forward-deployed engineering programs. But platform-tied FDEs only solve platform-tied problems, and most enterprise agent deployments cross multiple platforms.
The Big 4 know this too, which is why they're hiring against this category aggressively. But the cycle times are wrong. A six-month engagement to deploy an agent is itself a sign that the agent isn't ready to deploy.
The right unit of delivery for an enterprise agent is a pod, not a person and not a 50-person workstream. We built clus.ai around that unit.
How we differ
vs. traditional consultancies. Smaller engagements. Shorter cycles. No bench. Outcome-tied pricing. The senior person you meet is the person who runs your engagement.
vs. staff-augmentation marketplaces. Senior partner oversight. Pods, not individual contractors. Pre-vetted on real production work, not a Toptal-style screening test.
vs. agent platform vendors. Platform-agnostic. Cross-platform pattern recognition. We deploy on the stack you already run, not on the stack the vendor wants to sell you.
vs. solo independent consultants. Pods scale to the work. The senior team handles matching, scope, and quality. Operators do what they do best, which is ship.
Who we work with
Two buyer profiles, each with distinct engagement shapes.
Enterprise. CIOs and COOs at companies with $200M to $5B in revenue, often PE-backed or active in M&A. Practice areas: revenue and GTM agents, knowledge agents, M&A integration, FDE pods on demand.
Agent-native startups. Founders at Series A through C companies building agent-native products who need senior FDE capacity to ship enterprise deployments themselves. Practice area: FDE pods on demand, with a focus on customer implementation.
Where we work
San Francisco, New York, London, Paris. The network has operators across all four cities, which lets us match for time zone and cultural fluency on cross-border engagements. Most engagements are remote with periodic on-site weeks. Some industries and security postures require fully on-site, and we staff for that too.
The team
The founding team has spent the last 15 years building, scaling, and integrating companies through three technology waves. Backgrounds in management consulting, in operating roles at high-growth software companies, and in early teams at AI labs. We started clus.ai because none of us would have hired the firm we used to work for to deploy agents inside our own companies.
This is being built in public. If you're considering an engagement during the founding phase, expect both higher senior involvement and a more direct relationship with the people designing the firm. That's the design partner trade.
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