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brainiac/studio

Digital Studio

brainiac/studiobrainiac/studio
AI Services
01 · ai services / generative ai

Generative features users actually trust.

For product teams shipping image, audio, video, or text generation. We build the generation pipeline, the content moderation layer, the provenance stack, and the user experience — as one engineered system, not bolted-together demos.

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our point of view

Generative AI is easy to demo and hard to ship responsibly.

Every generative feature looks great in the demo. The hard part is what happens when a user generates something harmful, when a generated image gets scraped and misattributed, or when your model produces output indistinguishable from real content at scale. We build the boring infrastructure that makes generative features trustworthy.

Content safety isn't a checkbox — it's a system. We build classifiers tuned to your content policy, human review queues for borderline outputs, rate limiting and abuse detection, and a clear appeals process. We design these before the model API call, not as an afterthought.

We also build provenance: C2PA watermarking, cryptographic signing, and audit trails that prove what your system generated, when, and from what prompt. As synthetic content regulations tighten globally, this infrastructure is what separates responsible products from liabilities.

10×Content production speed for teams using our pipelines
<500msP95 image generation latency target for web products
99.5%Content policy compliance rate we target at launch
what we build

What we build.

01

Image generation pipelines

Stable Diffusion, DALL-E, Midjourney API, and Flux — fine-tuned to your brand aesthetic, with style controls, prompt enhancement, and negative prompt systems.

02

Video & audio generation

Short-form video generation, text-to-speech, voice cloning, and music generation — with latency optimization for real-time and near-real-time user experiences.

03

Content moderation layers

Multi-layer classifiers (NSFW, violence, copyright, PII, brand safety) running pre- and post-generation. Human review queues for borderline outputs with configurable thresholds.

04

C2PA & watermarking

Coalition for Content Provenance and Authenticity (C2PA) signing, invisible watermarking (tree-rings, StegaStamp), and cryptographic audit trails for every generated asset.

05

User-facing generation UX

Prompt input interfaces, style selectors, generation history, regeneration flows, and export pipelines — designed for the actual user, not the demo audience.

06

Rights & licensing management

Training data provenance checks, output licensing management, and DMCA workflow automation — for products shipping in regulated creative industries.

approach

How we build it.

01

Content policy design

We write the content policy before touching APIs: what can be generated, what is prohibited, and how edge cases are handled. This becomes the spec for every downstream system.

02

Generation pipeline

We select and integrate the right generation models for your use case — balancing quality, latency, cost, and fine-tuning flexibility. We build the prompt pipeline, enhancement layer, and parameter controls.

03

Safety infrastructure

We build the moderation stack: pre-generation prompt classifiers, post-generation output classifiers, rate limiting, abuse detection, and human review queues.

04

Provenance & watermarking

We implement C2PA signing and watermarking so every generated asset carries cryptographic evidence of its origin. We build the audit trail and the verification tooling.

05

UX & integration

We build the user-facing product surface, integrate with your existing asset management and publishing workflows, and monitor quality and abuse patterns post-launch.

tech stack

Tools we use.

Stable Diffusion / Flux
OpenAI DALL-E 3
ElevenLabs / Cartesia
Runway / Kling
C2PA (content credentials)
AWS Rekognition
Google Vision AI
Replicate / Modal
pricing

Engagement models.

— 01

Feature Build

from $28k

One generation capability (e.g., image generation for product pages) with full safety and provenance stack.

  • Single modality (image, audio, or text)
  • Content moderation layer
  • Basic C2PA signing
  • 60 days post-launch support
Most popular— 02

Product Suite

from $65k

Multi-modal generative product with full safety infrastructure, provenance, and user-facing UX.

  • Multi-modal generation
  • Full safety + moderation system
  • C2PA + watermarking
  • Rights management workflow
— 03

Platform

custom

Generative AI platform for teams shipping at scale with compliance, rights, and abuse requirements.

  • Unlimited modalities
  • Custom safety classifiers
  • Regulatory compliance (EU AI Act)
  • Ongoing retainer
faq

Frequently asked.

5 questions answered. Still have one? Reach out.

Multi-layer approach: prompt-level classifiers that block policy-violating inputs before generation, post-generation output classifiers that check every output, rate limiting to detect abuse patterns, and human review queues for borderline cases. We tune these to your content policy — not a generic one.

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