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Frigga Cloud Labs — Research & Development

We build what the market
refuses to touch.

Frigga's R&D division exists to close the gaps that the cloud infrastructure market has accepted as permanent. We research, prototype, and build tools that operate at the layer where existing solutions stop working.

Lab StatusActive
4+
Active Research Tracks
2+
Years Active R&D
0
Compromises on Vision
Brahmastra
In Research
Hydraenium
In Research
Dvarpala
Active Build
Vör
Foundational Research
Our Position
“The infrastructure layer needs a rethink.”

Most cloud tooling solves for the common case — the 80% that every team encounters. That leaves a persistent 20% of infrastructure problems that remain unsolved, under-tooled, or duct-taped together with internal scripts and tribal knowledge.

Frigga's R&D division exists to target that gap. We don't build what the market already provides. We research and develop at the layer where existing tools stop working — where organisations are forced to accept limitations as permanent constraints.

Every research track at Frigga is designed to remove a ceiling — not add a feature. We believe the next generation of infrastructure tooling will come from teams willing to operate at the edges of what is currently considered possible.

4+
Active research tracks
2+
Years in continuous active R&D
0
Compromises on vision or scope
BrahmastraHydraeniumDvarpalaVörAttack ResilienceCluster AutonomyForensic AccessAutonomous AIApplication LayerInfrastructure IntelligenceZero CompromisesBrahmastraHydraeniumDvarpalaVörAttack ResilienceCluster AutonomyForensic AccessAutonomous AIApplication LayerInfrastructure IntelligenceZero Compromises
Active Research

What we're building now.

Every active research track at Frigga targets a specific failure mode in modern cloud infrastructure — areas where existing tooling has accepted limitations as permanent. These are the problems we're solving.

In Research

Brahmastra

Application-Layer DDoS Defence

Application-layer attacks are the fastest-growing category of DDoS. They bypass traditional volumetric filters because they mimic legitimate traffic. Brahmastra is a research track focused on building an intelligent defence system that can identify and neutralise Layer 7 attacks in real time — without degrading performance for legitimate users.

Key Research Areas
  • Adaptive request fingerprinting for L7 attack identification
  • Behavioural traffic modelling with real-time anomaly scoring
  • Automated mitigation without false-positive impact on real users
  • Integration-ready architecture for any cloud-native stack
Domain
Network Security
Focus
Layer 7 Attack Intelligence
Cloud-AgnosticApplication LayerReal-Time
Why it matters
Current tools treat symptoms. Brahmastra targets the intelligence behind the attack.
In Research

Hydraenium

Full VM on Kubernetes

Kubernetes was built for containers. But enterprises still run workloads that require full virtual machine semantics — legacy applications, licensing constraints, kernel-level access. Hydraenium is researching how to run full VMs as first-class citizens inside Kubernetes, with the same portability, scheduling, and lifecycle management as containers.

Key Research Areas
  • Full VM lifecycle management within Kubernetes clusters
  • Unified scheduling for containers and VMs on shared infrastructure
  • Seamless networking between VM and container workloads
  • Multi-tenant isolation without sacrificing resource efficiency
Domain
Container Runtimes
Focus
VM Portability & Isolation
KubernetesContainer RuntimeMulti-Tenant
Why it matters
The market accepts that VMs and Kubernetes don’t mix cleanly. We don’t accept that.
Active Build

Dvarpala

Digital Forensic Logging & Access Intelligence

When a breach occurs, the first question is always: who accessed what, and when? Most startups and mid-stage companies cannot answer this. Dvarpala is a unified access-intelligence and forensic-logging platform that captures every SSH session, VPN connection, and privileged action — with tamper-proof audit trails and real-time access graphs.

Key Research Areas
  • Tamper-proof session recording for SSH, RDP, and database access
  • Real-time access topology mapping across all entry points
  • Automated compliance reporting for SOC2, ISO 27001, and GDPR
  • Insider threat detection with behavioural anomaly scoring
Domain
Security & Forensics
Focus
Insider Threat & Audit Trail
VPN LayerSSOJumpbox
Why it matters
Most startups cannot answer ‘who did what’ until after the damage.
Foundational Research

Vör

AI Infrastructure Intelligence Engine

Infrastructure teams are reactive by default. Alerts fire after something breaks. Capacity is planned after something runs out. Vör is a foundational research track exploring how AI can continuously analyse infrastructure state and proactively identify gaps, misconfigurations, and optimisation opportunities — before they become incidents.

Key Research Areas
  • Continuous infrastructure state analysis using AI/ML models
  • Proactive gap detection for security, cost, and reliability risks
  • Autonomous remediation suggestions with confidence scoring
  • Cross-stack correlation across cloud, container, and network layers
Domain
Autonomous Intelligence
Focus
Proactive Gap Detection
AI/MLObservabilityAutomation
Why it matters
The only system that actively hunts for what is missing.
Research Philosophy

How we decide what to build.

We target failure modes, not feature gaps.
Every research track begins with a specific failure mode — a scenario where existing infrastructure tooling breaks down, produces incorrect results, or forces operators into manual workarounds. We don't add features to categories that already work. We build where things fail.
We operate at the layer where tools stop working.
Most infrastructure tools are designed for the common case. Our research targets the edge — the last 20% of problems that existing solutions cannot reach. This is where complexity compounds, where teams burn the most time, and where the highest-leverage improvements exist.
Research informs service. Service informs research.
Our consulting and managed-services work gives us direct access to real infrastructure problems at scale. Every pattern we see across client environments feeds back into our research agenda. This creates a loop where our products are informed by real-world failure, not market speculation.
Research Domains

The problem space we operate in.

Each domain represents a category of infrastructure failure that we believe is under-served by existing tooling.

Attack Resilience
Cluster Autonomy
Forensic Access Intelligence
Autonomous Infrastructure AI
Cost & Observability Intelligence
Developer-Native DevOps Tooling
BrahmastraHydraeniumDvarpalaVörAttack ResilienceCluster AutonomyForensic AccessAutonomous AIApplication LayerInfrastructure IntelligenceZero CompromisesBrahmastraHydraeniumDvarpalaVörAttack ResilienceCluster AutonomyForensic AccessAutonomous AIApplication LayerInfrastructure IntelligenceZero Compromises
Work with Frigga

Infrastructure problems are
our research agenda.

Whether you need managed infrastructure today or want early access to what we're building next — we'd like to hear from you.