Strategic platform consulting
Architecture reviews, modernization programs, and operating-model decisions for leadership teams that need clear technical direction.
Cloud architecturePlatform baselinesMigration strategy
Platform engineering
Build systems that stay reliable as your scale and complexity grow.
Karman helps engineering leaders simplify platform decisions, modernize delivery, and improve runtime reliability across cloud, Kubernetes, and event-driven systems.
40+
platform and modernization engagements
5+
years focused on infrastructure consulting
6
enterprise clients including Siemens and VIAVI
Core capability areas
Cloud providersContainer orchestrationMessaging & streamingCloud-native ecosystemsObservabilitySecurityMLOps
Trusted by teams at
Service lines
Beyond implementation support. We help define how the system should operate.
The work is structured like enterprise consulting, but grounded in delivery systems, runtime constraints, and production behavior.
Container orchestration & cloud-native engineering
Platform engineering for teams standardizing delivery, governance, observability, and developer workflows around container orchestration and cloud-native practices.
Orchestration and cluster designPolicy and runtime controlsDeveloper self-service
Event-driven & messaging systems
Streaming and messaging architectures designed for scale, replay, tenancy, and operational clarity instead of brittle consumers and opaque topologies.
Topology and tenancySchema and contract strategyConsumer reliability
DevOps and low-latency execution
Delivery systems and runtime engineering for organizations where deployment quality and tail-latency behavior directly affect the business.
Release workflowsPerformance engineeringRuntime hardening
AI & model engineering
Practical model deployment, MLOps, monitoring, and use-case design — we help move models from experiments into reliable, governed production services.
Model deployment and servingMLOps and observabilityModel governance and monitoring
Industry fit
Built for organizations carrying technical and operational consequence.
Karman is strongest in environments where architecture quality influences reliability, customer trust, delivery speed, or enterprise readiness.
Fintech and regulated systems
Systems where governance, security, and latency tolerance are non-negotiable. We bring audit-ready infrastructure design, access control architecture, and performance engineering to environments operating under regulatory scrutiny — without adding complexity that slows down engineering teams.
B2B SaaS and platform teams
Products outgrowing their original delivery model and needing a stronger cloud or platform foundation. We stabilize the platform layer, introduce operating standards, and reduce the infrastructure toil that starts to dominate engineering time as customer base and team size grows.
Data-intensive product organizations
Streaming, storage, observability, and platform concerns that start to dominate engineering capacity as scale increases. We design the data infrastructure — event systems, pipeline governance, storage strategy — so it scales with product demand rather than constraining it.
Enterprise software vendors
Teams preparing products for customer-specific deployment models, security controls, and harder operational requirements. We close the enterprise readiness gap — BYOC deployment, SSO, audit trails, hardened access models — without requiring a full architectural rebuild.
5+
Years delivering platform and infrastructure consulting
40+
Engagements across cloud, streaming, and MLOps
6
Enterprise clients including Siemens and VIAVI Solutions
2
Products built, shipped, and operated alongside consulting
Products
Tools we build, ship, and run ourselves.
Two products born from recurring client problems — document security and customer support — now available as standalone platforms.
Document intelligence
Learn moreShareDoc
ShareDoc replaces uncontrolled email attachments with governed, trackable document experiences. Built for teams sending pitch decks, proposals, diligence packs, and board materials where access control and engagement analytics drive the outcome.
72%Less follow-up email
34%Faster deal close
91%Viewer completion rate
Per-recipient links with OTP, SSO/SAML, IP allowlists, and instant revocation
Page-level heatmaps, dwell-time tracking, forward detection, and real-time Slack alerts
Managed cloud, BYOS (S3, Azure Blob, GCS), self-hosted, and private-proxy deployment
The self-hostable alternative to DocSend — with BYOS storage, AI summaries, and no per-seat pricing on viewers.
AI support platform
Learn moreResolv
Resolv unifies support conversations across every channel into one AI-first workspace. Triage, draft, and route automatically — escalate to humans when judgment matters. Priced for growth, not for enterprise lock-in.
60%Faster first response
3×More tickets per agent
1 inboxEvery channel unified
Unified inbox across email, chat, Slack Connect, and in-app channels
AI triage, thread summaries, draft replies, and knowledge-grounded suggestions
SLA tracking, escalation rules, and human-in-the-loop approval workflows
AI native from day one — without Zendesk's legacy overhead, Pylon's CS-hybrid complexity, or SparrowDesk's limited depth.
Representative work
The kinds of engagements that start once standard playbooks stop being useful.
These are representative problem types, not marketing theatre. They reflect the situations where Karman is usually most useful.
Platform modernization programs
We help organizations move from fragmented infrastructure decisions to a coherent cloud and platform operating model — with a reference architecture, environment standards, and a day-two ownership model that teams can actually execute against.
- Reference architecture and cloud landing zone design
- Delivery and environment standards across all engineering teams
- Day-two operational ownership model and runbook coverage
Streaming systems that survive growth
Streaming and event architectures need more than throughput tuning. They need schema governance, consumer reliability, replay strategy, and clearer operating rules before the complexity becomes unmanageable at scale.
- Topic hierarchy, namespace boundaries, and schema governance structure
- Dead-letter queues, offset management, and consumer reliability patterns
- Operational playbooks for lag monitoring, replay, and incident response
Enterprise readiness for technical products
When enterprise demand grows, the product platform must support stronger security posture, flexible deployment models, and governance controls that customers can audit. We close the readiness gap before it becomes a deal-blocker.
- Security architecture and access control design for enterprise deployment
- Infrastructure posture review for multi-tenant and BYOC requirements
- Instrumentation, audit trails, and compliance control improvements
Engagement model
Structured enough for executive stakeholders. Technical enough for engineering teams.
The mandate is usually the same: reduce ambiguity, improve platform quality, and make the operating model hold under growth.
Diagnose the current system
We start with architecture, runtime, release, and operational constraints before deciding what should change.
Define the target state
We translate goals into platform decisions, boundaries, migration sequencing, and measurable operating standards.
Execute with engineering depth
The work moves inside implementation, not outside it. We stay close to the critical path until the decisions hold in practice.
Leave behind operating clarity
Teams should end with stronger ownership, better tooling, clearer controls, and less architectural ambiguity.
It all starts with a conversation.
Platform reviews, architecture consulting, product discussions — or just a scoping call.