Painterner Intelligence

AI Generation · Applied Research · Intelligent Delivery

Strategic AI Launchpad

A bold front door for the intelligent world, linking experiments to reliable delivery.

We ship multi-model prompt systems, reusable lab pipelines, and deployment playbooks in parallel so founders and enterprise teams can validate AI bets, measure trust, and reach production faster.

Live Pulse

  • Active alpha partners 12+
  • Multi-model latency (p95) < 80 ms
  • Trust framework refresh 2026 · Q1

Metrics originate from the internal Launch Console.

Solutions Matrix

Every stage from idea to deployment stays in view.

Research insights, generation engines, engineering workflows, and governance layers share a single operational map so handoffs feel instant and measurable.

View compliance docs →

Generation Engine

Coordinated prompt graphs & reusable assets.

Custom prompt graphs, model clusters, and asset libraries deliver multilingual, multimodal content with guardrails, audits, and instant rollback.

  • • Prompt graph version control + testing sandboxes
  • • Guardrailed generation with automatic red teaming
  • • Evaluation dashboards wired to business KPIs

Research Acceleration

Benchmarks, feedback, and alignment in one loop.

Teams reuse benchmarks and orchestration flows that cover data curation, human feedback, and model comparison so the next experiment ships in weeks.

  • • Multi-model evaluations with auto labeling & scoring
  • • RLHF / RLAIF hybrid loops with reviewer marketplaces
  • • Machine-readable research logs and decision trails

Intelligent Engineering

Explainable delivery for AI-heavy codebases.

LLM-assisted coding, policy-aware review, and rollout strategies stay linked so every release is auditable, reproducible, and reversible.

  • • Engineering knowledge graph with semantic search
  • • Traceable CI with signature-ready release notes
  • • Feature-flag and migration orchestration playbooks

Deployment & Solutions

Everything required to land at scale.

Environment orchestration, canary rollouts, and health monitors provide confidence that AI programs can keep evolving without losing trust.

  • • Multi-region deployment with elastic quotas & SLAs
  • • Integration blueprints, APIs, and data contracts
  • • Runtime observability + executive scorecards

Alpha Launchpad

Test beds for early partners

Each alpha backs deep co-building with shared success metrics, custom data enclaves, and transparent delivery milestones.

Request an access slot →
CompareAI v0.8

Multi-model prompt cockpit.

Automated scoring across GPT-4.1, Claude, Gemini, Intern, and in-house models with governance-ready exports.

  • • Auto evaluation & rapid voting views
  • • Refusal analytics + safety tagging
  • • CSV / API exports for compliance reviews
View demo Enterprise white-label ready
Code Atlas Waitlist

Multimodal coding copilot.

Designed for hardware + AI teams that need schematics, firmware, and inference services explained in one loop.

  • • Repository semantic topology + impact previews
  • • Pre-push safety scanning for policy drift
  • • Voice + image interactions for lab walkthroughs
Join waitlist Deliveries: VS Code + Web
SensorVerse Q2

Command view for sensor-heavy ops.

Real-time modeling, anomaly storytelling, and cross-city dispatch from a single AI command surface.

  • • Matrix-style data consoles with narrative summaries
  • • Self-learning alert strategies and what-if sandboxes
  • • APIs + digital twin exports for ecosystem partners
Strategic partners only
TextRep.work Live

Enterprise rewrite studio.

Tone-consistent rewrites and translation-ready pipelines for every product, marketing, and compliance channel.

  • • Semantic diff + template prompts
  • • Multilingual workspaces & layered approvals
  • • Deep integrations with translation memory & CMS
Visit now Built for long-form + APIs
JellyVAI Preview

End-to-end video generation.

Link scripts, shot lists, and generative models into one studio for marketing, education, and launch campaigns.

  • • Audio + visual dual-track editing
  • • Mixed-model inference with style locking
  • • HD exports, review spaces, and embeddable SDK
Request access Supports collaborative studios

Painterner Lab Notes

Signals from the engineering floor

We share internal experiments, architecture studies, and delivery habits that made it out of the lab and into partner stacks.

Visit the blog →

Memo · Infrastructure

Prompt graph chaos tests

How we load-test structured prompts with adversarial datasets before giving them to regulated industries.

Ships with sample scripts + evaluation recipes.

Field Note · Delivery

LLM runbooks that execs sign

Templates that keep red-team findings, legal notes, and deployment toggles in one printable artifact.

Available to alpha partners on request.

Update · Research

Reward modeling across cultures

Practical notes on mixing internal feedback, vendor labels, and synthetic preference graphs for global launches.

Next webinar: March 18 · invite only.

Trust & Assurance

Governance lives next to innovation.

Our trust pack covers data handling, model governance, and deletion workflows so procurement can move as fast as product.

  • • Terms of Service — updated quarterly
  • • Privacy Policy — data residency + retention outlines
  • • Delete Request Playbook — manual review within 72h

Work With Us

Co-build the next release.

Share your use case, data posture, and rollout target. We respond with a scoped alpha proposal curated by engineering and research leads.

Discord
discord.gg/h5UTtNpZRH
Office hours
Fridays · 14:00-17:00 UTC+8 · virtual