AI-native engineering studio
Your autonomous engineering department for AI products
We build and run AI-native systems like Webintell, Actyx, and RainmakerOS, then bring the same engineering firepower to ambitious B2B companies.
For VC-backed B2B SaaS (10-50M ARR), platform, DevOps/SRE, and growth leaders.
Geeksnova operates as the portfolio and services hub while each product retains standalone positioning and domain-level focus.
Makers of
Webintell
Agentic competitive intelligence for B2B SaaS.
by Geeksnova
Actyx
Autonomous remediation for DevOps/SRE.
by Geeksnova
RainmakerOS
Autonomous marketing engine.
by Geeksnova
We operate as both product foundry and embedded engineering department, shipping AI-native systems that actually run in production.
Our products
What we do
Products and engineering services under one roof
Geeksnova is the venture studio and engineering department behind standalone products and high-stakes B2B system delivery.
Engineering department-as-a-service
We embed senior engineers across product, infrastructure, and growth systems. Engagements are scoped to outcomes, not seat count.
Battle-tested on our own ventures, now available for you. Build new capabilities, stabilize production systems, and compound operational leverage.
Explore servicesProducts
Portfolio products with standalone brands
Each product is operated as an independent brand and domain, endorsed by Geeksnova.
VC-backed B2B SaaS founders
Webintell
Agentic competitive intelligence for B2B SaaS.
Turn fragmented market, customer, and GTM signals into a coherent strategic posture.
Problem: Teams get buried in fragmented competitor and market data.
Outcome: A unified strategic posture for product, GTM, and board-level decisions.
by Geeksnova
Platform teams, DevOps, and SRE leaders
Actyx
Autonomous remediation for DevOps/SRE.
Close the loop on incidents with policy-aware diagnostics and autonomous execution.
Problem: Alert fatigue and manual runbooks slow down incident response.
Outcome: Faster recovery with controlled automation and human-in-the-loop gates.
by Geeksnova
CMOs, growth, and revenue operations teams
RainmakerOS
Autonomous marketing engine.
Deploy agentic growth loops that run campaigns, learn, and improve with minimal lift.
Problem: Manual campaign ops and siloed data limit growth velocity.
Outcome: Compounding pipeline with automated orchestration and feedback loops.
by Geeksnova
Services
Four service pillars
AI product incubation, autonomous platforms, growth engines, and fractional engineering leadership.
MVP to v1 with production-grade architecture.
Observability, remediation, and resilient pipelines.
Automation systems for high-intent B2B growth.
Embedded senior team across product, AI, and infra.
How we work
Diagnose, design, operate
A production-first process: Diagnose and frame, Design and deploy, Operate and evolve.
Diagnose & frame
Model your technical and business system, constraints, and success criteria.
- System map and risk register
- Execution brief with milestones
- Prioritized backlog and KPI baseline
Design & deploy
Ship the highest-leverage architecture and workflows in production-ready increments.
- Reference architecture
- Implementation slices with QA gates
- Deployment and rollback strategy
Operate & evolve
Instrument outcomes, close feedback loops, and compound performance over time.
- Observability dashboards
- Reliability and change cadence
- Quarterly evolution roadmap
Technical credibility
Production infrastructure and orchestration depth
Understated but serious systems work across platform reliability, agent runtime control, and operational observability.
- Kubernetes and multi-region infrastructure
- LLM orchestration and agent runtime policies
- Event-driven pipelines and workflow automation
- Observability, incident response, and SRE guardrails
- Data platforms for analytics and adaptive learning loops
System loop
Proof
Proof over promises
When named case studies are unavailable, we use representative outcomes and operating patterns.
Representative outcomes
Platform reliability pattern
Representative outcome: moved from reactive alerts to policy-driven incident workflows with stronger operating clarity.
- Shared operating cadence across teams
- Improved system-level clarity and ownership
Representative outcomes
Go-to-market systems pattern
Representative outcome: replaced fragmented execution with a coordinated growth loop tied to shared funnel signals.
- Shared operating cadence across teams
- Improved system-level clarity and ownership
About
A small, senior, systems-first studio
We ship end-to-end across product, platform, and operations, with direct builder access and production accountability.
Work with us
Bring us in as your engineering department
Tell us what you are building and where you are blocked. We will respond with a direct technical perspective.