Pika

Pika

AI-powered video creation and editing tools

Overview

Pika.art builds an online platform that turns ideas into videos using AI. It offers text-to-video, image-to-video, and video-to-video transformations so users can create, edit, and extend videos with simple text commands. The product works through AI-powered video generation and editing tools accessible in a browser-like interface, enabling users to modify scenes, extend runtimes, and resize canvases without deep technical skills. Pika differentiates itself by targeting a broad range of creators—from casual meme makers to professional filmmakers—with a user-friendly, text-driven workflow and a subscription-based model that likely includes premium features for advanced tools. The company’s goal is to democratize video creation by making powerful AI-assisted video production accessible and customizable to everyday users and professionals alike.

About Pika

Simplify's Rating
Why Pika is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consumer Software

AI & Machine Learning

Entertainment

Company Size

51-200

Company Stage

Series B

Total Funding

$135M

Headquarters

Palo Alto, California

Founded

2023

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Simplify's Take

What believers are saying

  • April 2026: Pika raised $80 million Series B, reaching $135 million total funding.
  • August 2026: API Club prices Seedance 2.0 up to 87% cheaper.
  • Pika Audio Models launched August 14, expanding monetization beyond video creation.

What critics are saying

  • OpenAI, Google, ByteDance, and Runway compress Pika's margins with faster releases.
  • API Club's near-zero markup leaves Pika exposed if usage spikes faster than volume.
  • If consumer video demand stalls, Pika becomes a low-margin API reseller.

What makes Pika unique

  • August 2026: Pika bundles video, audio, image, and LLM access through one API.
  • Pika SFX generates 44.1 kHz stereo audio in 0.847 seconds, faster than competitors.
  • Pika shipped API Club, Audio Models, and creator tools within weeks.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$135M

Above

Industry Average

Funded Over

3 Rounds

Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
Linktree
$65M
Substack
$80M
Pika
$100M
ClickUp

Benefits

Health Insurance

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

3%
Aagey Se Right
Aug 21st, 2026
AI is closing the gap between idea and execution!

AI is closing the gap between idea and execution! This week at a glance. * Developer AI: Google launches Gemini 3.7 Flash with stronger coding and automation performance at half the introductory price of its predecessor. * AI Video: Higgsfield releases Cinema Studio 4 with eight new production controls for camera movement, lighting, color grading, and character emotion. * AI Music: Pika Labs launches four AI audio models for speech, music, sound effects, and synchronized soundtracks at up to 20x lower prices than rivals. * Creative AI: FLORA launches Fashion Studio, taking apparel brands from hand- drawn sketches to Shopify-ready campaign assets in one workspace. * AI Video: Topaz Labs releases Hyperion 2.5, bringing AI-generated video into professional HDR workflows for broadcast and streaming. Google launches Gemini 3.7 Flash with stronger coding performance and half the previous price. Higgsfield launches Cinema Studio 4 with eight new production controls for solo creators. Topaz Labs releases Hyperion 2.5, letting AI generated video enter professional HDR workflows. Pika Labs launches four AI audio models at prices up to 20 times lower than rivals. FLORA launches Fashion Studio, taking apparel brands from hand drawn sketch to Shopify campaign in one workspace.

Communeify
Aug 19th, 2026
AI daily|openai pauses RL training for safety; GLM-5.3 released; Claude adds Gmail & Drive connectors.

AI daily|openai pauses RL training for safety; GLM-5.3 released; Claude adds Gmail & Drive connectors. August 19, 2026 Updated Aug 19 Model releases & updates. GLM-5.3 - Zhipu AI (Z.ai). * TL;DR: Zhipu AI officially released GLM-5.3, securing a top score on the Artificial Analysis index through advanced post-training improvements. * Key Highlights: * Scores 60 on the Artificial Analysis Intelligence Index, matching Kimi K3 as one of the highest-performing open base models available. * Significant performance jump driven purely by post-training: Terminal-Bench 3.0 surged from 4.6 to 28.3, and DeepSWE v1.1 rose from 46.2 to 66.9 compared to GLM-5.2. * Retains identical pricing as GLM-5.2 with lower output token generation per task, accessible immediately via Z.ai API, OpenRouter, and Vercel AI Gateway. * Specs: Mixture-of-Experts (753B Total / 40B Active) / Open Weights (releasing within a week) / 1M Context Window * Links: | Z.ai Documentation Pika Soundtrack - Pika labs. * TL;DR: Pika introduced Pika Soundtrack, a latent diffusion transformer model engineered for precise video-to-audio synchronization. * Key Highlights: * Cross-attends latent video tokens with semantic audio prompt tokens to generate motion-aware sound effects, ambient audio, and score tracks. * Ranked #1 for semantic alignment (0.2457 ImageBind) and audiovisual synchronization (0.5537 DeSync) across a 67-chunk benchmark test. * Released via the Pika API Club at up to 50% lower cost compared to competing generative audio models. * Specs: Proprietary Video-to-Audio Model / Latent Diffusion Transformer / Multi-Modal Alignment * Links: Product releases & updates. Direct Gmail & Google Drive connectors - Anthropic (Claude). * What's New: Anthropic integrated direct Google Workspace connectors into Claude. Users can now prompt Claude to search Google Drive files or draft and send emails directly inside Gmail. Built-in permission gates allow users to specify when human confirmation is required before any email is dispatched. * Who It's For: Knowledge workers, managers, and enterprise users automating daily email and document workflows. * Try It: Origin native git hosting - Cursor. * What's New: Cursor launched Origin, a native code-hosting platform built on database-grade storage infrastructure. Designed for high uptime and performance, Origin features bi-directional GitHub synchronization, PR management, and inline repository editing directly within the Cursor ecosystem. * Who It's For: Software engineers and enterprise teams seeking high-reliability git infrastructure for AI-driven development. * Try It: TensorRT Model Connect - NVIDIA. * What's New: NVIDIA released the public preview of TensorRT Model Connect (TRTMC), an open-source tool that converts Hugging Face or local model checkpoints directly into native C++ TensorRT inference engines in two commands, completely eliminating intermediate ONNX conversions. * Who It's For: AI infrastructure engineers, C++ developers, and high-performance inference builders. * Try It: | GitHub Repository ChatGPT for Teens - OpenAI. * What's New: OpenAI introduced ChatGPT for Teens for users aged 13-17. The feature automatically turns on enhanced content safety guardrails, Study Hours scheduling, parental controls, and a step-by-step "Study Mode" designed to guide students through homework problems rather than providing direct answers. * Who It's For: Teenagers, parents, and educators looking for safe, educational AI assistance. * Try It: OpenAI Announcement AI SDK "code Mode" Sandbox execution - Vercel. * What's New: Vercel added "Code Mode" to the AI SDK. Instead of relying solely on multi-turn JSON tool calls, models generate JavaScript/TypeScript code that executes within an isolated QuickJS sandbox to programmatically orchestrate and run tool sequences in a single turn. * Who It's For: Full-stack developers building complex, multi-tool AI agents and autonomous web applications. * Try It: fx lightweight agent harness - Vercel Labs. * What's New: Vercel Labs open-sourced fx, a minimalist coding agent harness written natively in Zig. Featuring a 6.3MB binary, single-digit megabyte memory usage, and 10-microsecond cold-start execution, fx is optimized for high-speed terminal development, WebAssembly embedding, and lightweight agent evaluation. * Who It's For: Developers seeking fast, open-source terminal coding agents and embeddable harnesses. * Try It: Industry news. OpenAI pauses frontier RL training to strengthen AI safety protocols. * What Happened: OpenAI announced a two-week pause on reinforcement learning (RL) training for its next-generation deployment models - including the upcoming Astra model - to harden internal research environments and expand red-teaming. Additionally, OpenAI is dedicating up to 20% of its research inference compute toward multi-stage chain-of-thought monitoring to detect concerning model behaviors prior to public release. * Why It Matters: This marks a major voluntary pause by a leading frontier lab triggered by internal capability thresholds. As AI capabilities in cybersecurity advance, safety verification and alignment monitoring are increasingly determining the pace of frontier model deployments. * Source: OpenAI Announcement | OpenAI, NVIDIA, and SB Energy Partner on 8GW Data Center Project. * What Happened: OpenAI, NVIDIA, and SoftBank's SB Energy finalized an agreement to construct the PORTS-Pike data center campus in Ohio. The project targets 10GW of clean energy generation and up to 8GW of dedicated AI factory compute capacity, with NVIDIA providing up to $105 billion in financial backstop guarantees for the long-term lease. * Why It Matters: The deal illustrates the huge capital requirements and novel financial structures needed for next-generation compute scaling, with hardware providers directly underwriting data center infrastructure to secure capacity for frontier AI labs. * Source: Pew survey: over 50% of young adults in the US concerned about AI job impact. * What Happened: A new Pew Research survey revealed that 55% of US adults under 30 express more concern than excitement regarding artificial intelligence. Furthermore, 73% of young respondents expect AI to reduce overall jobs over the next two decades, up from 61% in 2024. * Why It Matters: Public sentiment among younger demographics is increasingly shifting toward economic displacement concerns, which could impact future US regulatory policy, labor legislation, and consumer adoption rates. * Source: Vercel launches $1 million hacker challenge for sandbox security. * What Happened: Vercel announced a 1,000,000publicbugbountyprogramforVercelSandbox.SecurityresearchersandAIdevelopersareinvitedtousefrontierAImodelstoattemptescapingtheFirecrackermicroVMorbypassinghost−sidenetworkisolation,withbountiesreachingupto1,000,000publicbugbountyprogramforVercelSandbox.SecurityresearchersandAIdevelopersareinvitedtousefrontierAImodelstoattemptescapingtheFirecrackermicroVMorbypassinghost−sidenetworkisolation,withbountiesreachingupto50,000 per verified report. * Why It Matters: As autonomous coding agents gain permissions to execute untrusted code in production, verifying microVM boundaries against AI-driven exploits is becoming critical enterprise infrastructure security work. * Source: Vercel Blog | Research papers. Autonomous protein design via frontier LLMs - Anthropic Research. * Motivation: Computational protein design traditionally relies on human domain experts to manually configure complex multi-step pipelines, creating a major bottleneck in drug discovery and biological research. * Key Innovation: Anthropic evaluated Claude's ability to autonomously run computational protein design workflows without human intervention. Using expert-written protocols, Claude designed novel protein binders for 15 biological targets, which were subsequently synthesized and laboratory-tested by Adaptyv Bio and Twist Bioscience. * Results: Claude achieved a 22.6%-35.1% binding success rate (354 out of 1,320 designs bound successfully across 14 targets) - roughly doubling the traditional human expert benchmark of 10%-15%. * Paper: Anthropic Research | Other Highlights. Mojo programming language officially open sourced - Modular. * Overview: Modular officially open-sourced the Mojo compiler and toolchain under the Apache 2.0 license (with LLVM exceptions) following its 1.0 release. Designed to simplify high-performance GPU programming with Python-inspired syntax, Mojo's core codebase is now publicly available on GitHub. * Link: Modular Blog Miles v0.1 open-source RL framework - RadixArk. * Overview: RadixArk released Miles v0.1, an open-source reinforcement learning framework for LLMs and vision-language models. Developed by 72 contributors, Miles focuses on RL debugging and hardware utilization, passing 85 end-to-end GPU CI tests across models like DeepSeek V4, Kimi K3, and Qwen 3.8. * Link: Featured Partners

Pika
Aug 18th, 2026
Now hear this: Pika SFX.

Now hear this: Pika SFX. Production-ready sound from language, generated faster than real-time August 18, 2026 - By Pika Team Today, Pika Labs Inc. is introducing Pika SFX, a new model that turns a written description into a focused, ready-to-use sound effect in real-time. Describe a single event - glass shattering or a cartoon whoosh - or direct a complete sound sequence with timing, environment, texture, and mood. Pika SFX generates an audio clip that follows the request while avoiding unrelated speech, music, and background noise unless they are explicitly part of the prompt. Listen to the model. A single event. glass shattering Material, space, and perspective. A heavy metal door slamming shut in a large empty warehouse, followed by a long metallic echo. A sequence of events. A cork popping out of a champagne bottle, followed by fizzy liquid being poured into a glass, the bubbles softly crackling as they settle. Layered sound design. An old malfunctioning machine: gears grinding irregularly, steam hissing from a valve, electrical sparks crackling, a loose bolt rattling, ending with a heavy clunk and a power-down whir. Designed fantasy sound. A magical spell being cast: shimmering sparkles building up, an ethereal choir-like swell, then a powerful whoosh release with glittering chimes trailing off. The technical challenge. A useful sound prompt can be as short as "a metal door slamming in a warehouse." Or it can describe a sequence of events: "A cork pops out of a champagne bottle, followed by fizzy liquid pouring into a glass, with bubbles softly crackling as they settle." Prompt fidelity, however, is only the first of three constraints. The second is audio quality: sounds should have crisp, accurate transients, plausible acoustics and reverberation, and no unwanted content beyond what the prompt specifies. The third is efficiency: how can Pika Labs Inc. generate high-quality audio quickly and cost-effectively, without sacrificing fidelity or controllability? Pika SFX is designed to tackle all three challenges at once, combining prompt fidelity, audio quality, and efficient generation in a single system. Methods. Architecture overview. Pika SFX translates a natural-language description into a complete 44.1 kHz stereo audio waveform. A transformer-based text encoder first maps the prompt into conditioning embeddings that capture the requested sound sources, physical actions, acoustic environment, timing, texture, and creative direction. The generative core is a text-conditioned diffusion transformer (DiT) operating in a compressed acoustic latent space. R ather than generating waveform samples directly, the transformer progressively constructs a compact representation of the sound. This reduces the sequence length and computational cost while preserving both fine acoustic details - such as transients, texture, and reverberation - and broader temporal structure. The model can therefore represent anything from a single impact to evolving ambience and layered multi-event sequences. A semantic-acoustic autoencoder then decodes the generated latents into the final stereo waveform. Pika Labs Inc. designed the system around three goals: * Prompt fidelity: preserve the objects, actions, environment, and sequence described by the user. * Production quality: generate clean, balanced audio with minimal artifacts or unrelated content. * Efficient generation: preserve useful sound quality within a distilled, few-step inference path suitable for interactive applications. This architecture provides the foundation; the inference stack determines how quickly it can be served. Training for efficient generation. Pika Labs Inc. train Pika SFX in three stages. First, the model learns to transform random noise into structured audio using a flow-matching objective. During training, it observes intermediate points between noise and real audio and learns the direction - or velocity - that moves each point toward a clean audio representation. This teaches the diffusion transformer to model diverse sounds, temporal structure, and text-audio relationships. Next, Pika Labs Inc. apply teacher-student distillation. A high-quality teacher follows a longer, multi-step generation path, while the student learns to predict the teacher's final result from an intermediate noisy state. This effectively shortens and straightens the generation trajectory, allowing the model to produce useful audio with far fewer inference steps. Finally, Pika Labs Inc. refine the distilled student model through post-training on high-quality curated data with human feedback. Together, these stages allow Pika Labs Inc. to generate high-fidelity content efficiently. Real-time interactive inference. Pika Labs Inc. treat inference as an end-to-end systems problem, optimizing the model, hardware, and serving stack for continuous generation. At a high level, its approach combines two ideas: * Few-step generation. Pika Labs Inc. distill the model to generate high-quality audio in fewer inference steps, substantially reducing sequential computation. * Deployment-aware optimization. Pika Labs Inc. optimize for the specific combination of model architecture, hardware, output duration, and serving configuration instead of treating each component in isolation. Together, these choices turn inference from a cold batch job into a warm, continuous generation loop. Evaluation. Evaluation setup. The benchmark uses 50 prompts and 454 seconds of requested audio per model, with requested durations from 2 to 20 seconds. It covers short and detailed prompts across impacts, Foley, animals, nature, vehicles, human sounds, ambience, spatial motion, and layered multi-event sequences. Generation performance. Across the same 50 prompts of requested audio per model, Pika SFX completed its locally hosted end-to-end path in 0.847 seconds on average. For context, the fastest hosted APIs in this benchmark averaged 2.47 seconds for ElevenLabs v2 and 2.64 seconds for Stable Audio 3 SFX. Figure: Generation latency versus requested audio duration across text-to-SFX models. Pika SFX achieves sub-second end-to-end generation, including CPU processing and file saving. Lines show means; shaded bands show +/-1 standard deviation. Lower is faster. Audio quality. Evaluating generated sound is difficult. A clip can match a prompt in embedding space and still be noisy, poorly balanced, or awkward to place in an edit. Pika Labs Inc. therefore evaluated both prompt-related metrics and the practical qualities of the resulting audio. What Pika Labs Inc. measure. The evaluation separates prompt alignment from practical audio quality: * CLAPScore: similarity between the generated audio and prompt in a shared embedding space. * AQAScore: whether the prompted events are present, as assessed by a multimodal model. * Content usefulness: whether the generated content is practically usable, using the corresponding Meta Audiobox Aesthetics axis. * Production quality: whether the audio is clean and ready for creative work, using the corresponding Meta Audiobox Aesthetics axis. Results. Across this benchmark, Pika SFX achieved the highest content usefulness and production quality scores among the systems evaluated. Pika SFX leads the measurements closest to using the result in a creative workflow - whether the content is useful and whether the audio sounds production-ready. Applications and future work. Pika SFX is designed as a building block. It can generate an isolated effect for an edit, create a sequence from a detailed direction, supply ambience for a scene, or bring sound generation directly into an application through the API. This release is one part of its broader work on generative audio. Pika SFX begins with language. Pika Video-to-SFX begins with the picture itself, generating effects and ambience aligned with visible events and motion across a video. Availability. Pika SFX is available now through the Pika API Club. Developers can generate downloadable MP3 sound effects from text prompts, with configurable durations from 1 to 20 seconds and optional controls for negative prompts, seed, inference steps, and guidance scale. Pika Labs Inc. is excited to hear what you create.

Associated Press
Aug 4th, 2026
Pika launches $10/month API Club, slashing AI model costs up to 80% below rivals

Pika has launched the Pika API Club, a $10-per-month membership offering developers access to over 70 generative AI models through a single API. The service includes models for video, image, sound, and language generation at near-wholesale prices. The company says AI startups currently spend 40-50% of revenue on model inference, more than double typical SaaS companies. Pika's pricing undercuts competitors significantly: Seedance 2.0 runs up to 80% cheaper than Runway Dev and roughly 2x cheaper than Fal.ai, whilst Kling 3.0 and GPT Image 2.0 are approximately 20% below Fal's pricing. The Lightspeed-backed company achieves these savings by reducing its profit margin to nearly zero. CEO Demi Guo said developers were "shocked" to learn they'd been paying 3x markups on generative AI models. The API Club is available at dev.pika.art.

The Mirror Democrat and Savanna Times-Journal
Aug 4th, 2026
Pika cuts AI's 3x markup to nearly zero with a $10-a-Month membership.

Pika cuts AI's 3x markup to nearly zero with a $10-a-Month membership. * 2 hrs ago The AI industry has an expensive problem. Startups are now burning 40-50% of revenue just to keep the lights on for model inference, more than double what a typical SaaS company spends, and some companies are reportedly running through entire annual AI budgets months ahead of schedule. What was supposed to be the great equalizer of the tech industry has quietly become a toll road, and the bill is coming due across the board. Today, Pika, the Lightspeed-backed AI video company, is launching the Pika API Club to fix it. Built on the playbook that fixed retail, think Costco, for generative media, the membership gives builders direct access to over 70 of the world's leading generative AI models, including Pika's own, spanning video, image, sound, and language, all through a single API key, at prices as close to wholesale as Pika can get them. The Pika API Club is available starting today at dev.pika.art, with membership open to anyone at $10 a month. Court Term Reflects Reagan, Not Trump, Priorities The savings are steep. Seedance 2.0 runs up to 80% cheaper than Runway Dev, and up to 2x cheaper than Fal.ai. Kling 3.0 and GPT Image 2.0 both come in roughly 20% below Fal's pricing. Generating just three 15-second Seedance 2.0 videos, compared to Runway's pricing, already saves more than the entire monthly fee. A savings calculator launching on Pika's site lets builders plug in their own usage and see exactly what they'd save against other aggregators before they sign up. "Our developer and founder friends were shocked to hear that they've been paying a 3x markup on generative AI models," said Pika CEO Demi Guo. "We feel it's important to provide an API solution that's much more cost-efficient, especially for this next generation of builders and creators." The mechanism behind it is simple: taking less profit, cutting margin to almost zero to pass the savings straight through to members. The move puts pressure on every other aggregator in the space to match Pika's pricing or risk losing developers to it. What You Get * The world's best video, image, and sound models, one API. Over 70 leading models across video, image, sound, and language, including Pika's own, all from a single key. * Agent-native. Built to be legible to any agent or LLM, and usable directly inside any vibecoding platform. * Negotiated member benefits. Markup kept as low as possible so the savings pass straight to builders. Who This Is For * Indie developers, vibecoding anything from a recipe site to a virtual try-on app with multimodal gen AI * Designers, creating prototypes with working image and video generation * Creative agencies, integrating gen media into their internal creation tools * Startups, leveling up any product with multimodal gen AI at a lower cost "Pika is committed to making outstanding AI outputs more accessible to builders, makers, and creators of all kinds," the company said. "This carries through to our products, our own models, and our pricing. And this is just the beginning." Full pricing details available on request. About Pika Pika is an AI video company backed by Lightspeed, known for launching some of the most widely used generative video tools since its founding in 2023, including Pikaffects. The API Club marks its entry into developer infrastructure, giving builders wholesale-level access to the leading models across video, image, sound, and language, separate from the consumer app. For more information, visit [pika.art]. Media gallery

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