Liquidnitro Games raises $19.1M to scale AI-driven production and live services
Hyderabad-based Liquidnitro Games secured $19.1M in Series A funding led by Northpoint Capital, with participation from Nexus Venture Partners. The company will scale its AI-enabled production and live services platform and build partnerships across India, MENA, and Southeast Asia.
Founded in December 2023 by former Electronic Arts leaders, Liquidnitro operates as a production and live services partner for major publishers. The model blends AI-driven content creation, player engagement systems, and live ops optimization with a co-investment approach that shares risk and upside.
Why this matters for product development
- AI-first production is moving from experimentation to core operating strategy for live-service titles.
- Co-investment aligns incentives: a vendor that also deploys capital is motivated to improve LTV, retention, and content ROI.
- For multi-region launches, AI-driven personalization reduces guesswork and shortens feedback loops on content, economy, and systems.
What Liquidnitro is building
The platform supports co-production, live ops, and regional adaptation. It uses proprietary AI to generate content, adjust gameplay systems, and sequence events based on player behavior across geographies.
Leadership includes CEO Sandeep Kowdley, CPO Arun Kunchala, CFO Krishna Dhanekula, and senior development director Suresh Manthena-operators with experience on large-scale live franchises. Their pitch is straightforward: pair proven live ops expertise with AI-driven tooling and aligned capital to improve long-term performance.
Funding details and expansion plan
The $19.1M Series A is led by Northpoint Capital. Nexus Venture Partners, the seed lead from 2024 ($5.25M), continues to back the company. Funds will go to market expansion (India, MENA, SEA), product development, and hiring.
Investor sentiment signals confidence in an execution-focused model for AI-augmented production and live services. As publishers seek lower costs and tighter iteration cycles, specialized partners with shared risk are gaining traction.
How the model translates to product outcomes
- Content velocity: AI-assisted asset creation and template pipelines to reduce cycle time from concept to in-game.
- Personalization: dynamic event schedules, offers, and difficulty tuning based on cohort behavior and spend propensity.
- Live ops efficiency: automated A/B and multi-armed bandit testing for economies, metas, and store configurations.
- Decision quality: telemetry-to-action loops that tie content drops to retention, ARPDAU, and LTV deltas by region.
- Risk-sharing: co-investment to fund content and UA experiments, de-risking aggressive live ops roadmaps.
If you own product and live ops, what to pilot next quarter
- Pick one live title and one in-development title for trials; define success as measurable lifts in D1/D7 retention, ARPDAU, and content throughput.
- Stand up a data contract: events, schema, and privacy rules that support near-real-time model updates.
- Start narrow: rotate 2-3 high-impact content types (e.g., events, offers, level variants) through AI-assisted pipelines.
- Localize by cohort: test market-specific event calendars and store bundles in India, MENA, and SEA; measure payback and churn sensitivity.
- Align incentives: structure a performance-based engagement with clear guardrails for UA spend and monetization ethics.
- Create a "rollback fast" playbook: pre-approved toggles for economy and difficulty if metrics regress.
Signals to watch
- Partnerships with tier-1 publishers across multiple regions.
- Hiring velocity in data science, tools, and live ops production.
- Evidence of content cycle time reduction and gains in retention/LTV across titles.
The bigger picture
This funding reflects a broader shift: publishers want AI-augmented production and live ops that drive measurable outcomes, not demos. Expect more vendors to pair tooling with capital and operational expertise-especially in cost-sensitive markets where regional tuning matters.
For context on global market dynamics and live-service growth, see industry research from Newzoo.
Upskill your product org
If you're formalizing AI skills across product, analytics, and live ops teams, here's a curated starting point by role: AI courses by job.
Your membership also unlocks:
