Where AI agents and human professionals collaborate on post-production. Automated QC, deliverables management, DCP validation, and an AI assistant that speaks post — built for how the industry works now.
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A virtual post house is a cloud-based post-production facility that provides the same professional services, tools, and workflow intelligence as a traditional brick-and-mortar post house — but accessible from anywhere with an internet connection.
Where a physical post house has rooms, equipment, and staff dedicated to finishing, QC, deliverables, and review, a virtual post house provides that same infrastructure as software — and now, as intelligent agents that can operate on your behalf.
Bradford Lab is the first purpose-built virtual post house designed for human + agent collaboration. It was created by post-production professionals who have spent over a decade finishing films, commercials, and series for theatrical, broadcast, and streaming distribution. Every feature comes from real production experience — and is now being augmented by AI agents that can handle the technical infrastructure work at scale.
The creative tools have never been better. Editors cut on laptops. Colorists grade remotely. Sound mixers work from home studios. The craft of post-production has decentralized — but the infrastructure has not kept up.
Deliverables still get managed in spreadsheets. QC happens manually or not at all. Delivery specifications live in PDF documents that nobody reads until something bounces. Review happens over email threads. And the post supervisor holds it all together through institutional knowledge that exists only in their head.
AI agents change this equation entirely. An agent can run QC on every asset the moment it lands. It can validate deliverables against specs without being told twice. It can flag a loudness violation, a color space mismatch, or a subtitle overrun before anyone on the team even looks at the file. It never forgets a delivery spec. It never skips a check because it is Friday afternoon.
The future of post-production is not humans replaced by machines. It is humans empowered by agents — doing better work, faster, with fewer errors and less overhead. That is what Bradford Lab is built for.
Every feature is built on real post-production knowledge — and designed for both human operators and AI agents to use. Not media management with an AI label. Actual post-production intelligence, agent-ready.
Codec validation, loudness analysis, resolution verification, and standards compliance — run automatically by agents on every asset.
Full DCP validation pipeline: structural checks, multi-reel composition QC, SMPTE/Interop compliance, and in-browser playback.
Track, validate, and package deliverables for theatrical, broadcast, streaming, and archival — agents handle the logistics.
Frame-accurate review rooms with timecoded commenting. Integrates with Frame.io for teams already using it.
Built for AI agents to operate on real post-production tasks — QC, validation, packaging, reporting — with human oversight at every step.
Deep domain knowledge of deliverables specs, codecs, color science, loudness standards, and professional workflows. Ask it anything.
Frame.io comment sync, Dropbox and Google Drive storage linking, DaVinci Resolve workflows. Fits your existing pipeline.
Organization-based access control, encrypted transit and storage, scoped share links. Built for pre-release and confidential content.
This is not automation for its own sake. Bradford Lab defines a clear division of labor between human professionals and AI agents:
Whether you run a post-production department or finish projects on your own, Bradford Lab provides the infrastructure layer — now with AI agents that handle the technical work alongside you.
Let agents handle deliverables tracking, QC monitoring, and vendor coordination while you focus on the creative pipeline.
Real-time visibility into delivery status. Agents keep the dashboard updated so you always know what is done, pending, or at risk.
Export your master and let agents validate it against specs, run QC, and flag issues before anything goes to the client.
Festival DCPs, streaming deliverables, accessibility requirements — agent-powered post infrastructure without the overhead.
Collaborate on deliverables and review across locations. Agents coordinate the logistics. The post house travels with the project.
Augment your existing operation with agent workflows. Automate QC, standardize delivery, and scale without adding headcount.
Bradford Lab is in closed beta. Limited spots. Drop your email and we'll reach out when your access is ready.
By signing up you agree to our privacy policy. We'll email when your access is ready.
Bradford Lab includes an AI post-production assistant with genuine depth in the domain. Not a chatbot with access to a few help articles — a technical partner that understands deliverables specifications, codec internals, color science, loudness standards, subtitle formats, and the full landscape of professional post-production workflows.
Ask it what audio loudness spec applies to your Netflix delivery. Ask it to explain the difference between SMPTE and Interop DCP standards. Ask it how to handle HDR metadata for a Dolby Vision deliverable. Ask it why your ProRes master has a green frame at the head. It gives you a real answer from real knowledge — not a search result summary.
The assistant works alongside the agent infrastructure — it can answer your questions while agents execute the tasks. Human intelligence and artificial intelligence, working together on the same project, in the same platform.
Bradford Lab was created by the team behind Bradford Operations, a New York-based post-production company with extensive experience in color grading, online editing, and finishing for documentary and narrative projects. The platform encodes years of production experience into its agent infrastructure — knowledge that agents can now apply automatically, at scale, on every project.
This means the agents understand things that general-purpose AI does not:
This is the kind of knowledge that lives in the heads of experienced post supervisors. Bradford Lab puts it into agents that apply it automatically — on every asset, every delivery, every project.
Bradford Lab speaks the language of professional post-production natively. Agents have deep format-level intelligence across the full spectrum of production, finishing, and delivery:
Video: ProRes (Proxy through 4444 XQ), DNxHD, DNxHR, H.264, H.265/HEVC, AV1, JPEG2000 (DCP MXF), XDCAM, AVC-Intra, MPEG-2, and uncompressed formats. Agents validate codec profiles, bit depth, chroma subsampling, and color space metadata.
Audio: PCM WAV, Broadcast WAV (BWF) with embedded timecode, multichannel stems (stereo, 5.1, 7.1, Atmos bed), AAC, and Dolby Digital. Loudness analysis to EBU R128, ATSC A/85, and platform-specific requirements.
Cinema: DCP packages (SMPTE and Interop), including multi-reel compositions, encrypted packages, subtitle reels, and ISDCF naming compliance. Full CPL/PKL/ASSETMAP structural validation.
Subtitles & Captions: SRT, WebVTT, TTML/IMSC, EBU-STL, and embedded CEA-608/708. Format conversion, timing validation, and accessibility compliance.
Interchange: EDL (CMX 3600), Final Cut Pro XML (FCPXML), AAF, and OpenTimelineIO (OTIO) for timeline interchange between editorial, color, sound, and finishing.
A virtual post house is a cloud-based post-production facility that provides the same professional services, tools, and workflows as a traditional brick-and-mortar post house — but accessible from anywhere. It handles deliverables creation, quality control, review and approval, asset management, and workflow automation. Bradford Lab is the first purpose-built virtual post house designed for collaboration between human professionals and AI agents, combining deep post-production expertise with modern infrastructure to give every project a dedicated post team regardless of location.
Agent-friendly means the platform is built from the ground up for both human operators and AI agents to work together. AI agents can ingest assets, run QC checks, validate deliverables, generate reports, and manage workflows through structured APIs and machine-readable interfaces. Human professionals retain creative oversight, final approval authority, and strategic decision-making. This is not automation replacing people — it is a new model where agents handle the repetitive technical infrastructure work and humans focus on craft, judgment, and client relationships.
Bradford Lab provides a structured environment where AI agents can operate on post-production tasks with real domain knowledge. Agents can run automated QC on ingested assets, validate files against delivery specifications, flag issues before they reach clients, manage deliverables packaging and tracking, sync review comments, and answer technical questions about codecs, formats, and standards. The platform provides guardrails and human checkpoints so agents augment professional workflows rather than operating unsupervised.
Producers and post supervisors managing deliverables across projects. Editors and colorists who need to deliver final assets without a dedicated post team. Production companies working with remote collaborators. Independent filmmakers preparing festival submissions and distribution deliverables. Forward-thinking facilities looking to augment their operations with AI agent workflows. Anyone in the professional content pipeline who needs post-production infrastructure without the overhead of a physical facility.
Bradford Lab provides automated deliverables validation and QC, DCP inspection and playback (including multi-reel and encrypted packages), format-aware asset management, review rooms with frame-accurate commenting, standards compliance checking against broadcast and theatrical specifications, audio loudness analysis, subtitle and closed caption validation, color space verification, and an AI post-production assistant with deep domain knowledge of codecs, formats, workflows, and delivery specifications.
Bradford Lab handles the infrastructure and workflow layer of post-production — the parts that are about file management, validation, delivery, QC, and collaboration rather than the creative craft. It complements colorists, editors, sound mixers, and VFX artists by automating the technical and logistical work that surrounds their creative output — increasingly with the help of AI agents that handle the repetitive parts. For many projects, it eliminates the need for a dedicated physical facility for finishing and delivery.
Yes. Bradford Lab provides comprehensive DCP support including structural validation (CPL, PKL, ASSETMAP, MXF completeness), composition QC for multi-reel packages, SMPTE and Interop standard compliance checking, encrypted package detection, in-browser DCP playback with proper XYZ-to-Rec.709 color conversion, and ISDCF naming validation. This is cinema-grade DCP handling built by people who have prepared hundreds of DCPs for festivals and theatrical release.
Bradford Lab handles the full spectrum of professional post-production formats: ProRes (all profiles), DNxHD/DNxHR, H.264/H.265, DCP (JPEG2000 MXF), IMF packages, broadcast MXF (XDCAM, AVC-Intra), WAV/BWF audio (including multichannel stems), SRT/VTT/TTML subtitles, EDL/XML/AAF/OTIO timelines, and LTO archival manifests. Format intelligence is built into every layer of the platform.
Bradford Lab includes an AI assistant trained on deep post-production domain knowledge — deliverables specifications, codec parameters, broadcast standards, color science, audio loudness requirements, subtitle formats, and professional workflows. It can answer questions about delivery specs, help troubleshoot format issues, generate technical reports, and guide you through complex workflows like DCP authoring or IMF packaging. It understands the language and context of professional post-production and can operate alongside AI agents to provide both interactive guidance and automated task execution.
Yes. Bradford Lab validates assets against broadcast and OTT delivery specifications including video codec compliance, audio loudness (EBU R128, ATSC A/85), closed caption format requirements, HDR metadata verification, and resolution/frame rate conformance. It understands the specific requirements of major distributors and broadcast networks.
AWS Elemental is encoding infrastructure. Frame.io is review and approval. Cloud MAM systems are asset databases. Bradford Lab is the post house that ties these together with post-production intelligence and an agent-native architecture. It understands what a DCP is, what makes a valid broadcast deliverable, how audio stems should be organized, and what QC checks need to happen before delivery. And it is built so that AI agents can operate alongside human professionals to handle the technical infrastructure work at scale. It is not a general-purpose media tool — it is a virtual post-production facility built by post-production professionals for the agent era.
In practice, a post supervisor approves a deliverables spec. An AI agent monitors incoming assets, runs QC automatically, flags issues, packages deliverables to spec, and generates status reports. A colorist exports a final master; the agent validates it against the delivery spec before it goes to the client. A producer checks a dashboard for real-time project status that agents keep updated. The human makes the decisions and does the creative work. The agent handles the infrastructure, logistics, and validation — faster and more consistently than manual processes.
Bradford Lab is in closed beta. Limited access. Request your spot now.
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