PerceptiLabs · 0 reviews

PerceptiLabs

Visual machine learning modeling platform that democratizes TensorFlow development

Data Science and Machine Learning Platforms

— ☆☆☆☆☆ 0 reviews

About PerceptiLabs

PerceptiLabs is a graphical user interface (GUI) designed specifically for TensorFlow that transforms machine learning model development through visual modeling. The platform enables teams to build, experiment, and deploy ML models without requiring deep coding expertise, bridging the gap between technical flexibility and operational simplicity. Users can construct complex neural networks by dragging and dropping components, visualizing data flows, and instantly seeing model architecture changes. PerceptiLabs accelerates innovation cycles by reducing development time from weeks to days, allowing data scientists and engineers to focus on experimentation rather than boilerplate code. Through AiDOOS marketplace integration, PerceptiLabs enhances governance with centralized model management, streamlines deployment workflows across cloud and on-premise environments, and provides scalable access to ML development capabilities. The platform supports rapid prototyping, collaborative model building, and production-ready deployment, making it ideal for organizations seeking to democratize machine learning development across technical and non-technical teams.

Challenges It Solves

Data teams struggle with steep learning curves and lengthy development cycles for ML model creation
Organizations need to democratize ML capabilities across teams with varying technical expertise
Manual coding of neural networks introduces errors, inconsistencies, and slows experimentation
Model versioning and collaboration workflows lack transparency and governance controls

Faster time-to-model deployment

Reduced ML development complexity

Increased team productivity and collaboration

Use Cases

Rapid Prototyping for Research Teams

Research teams can quickly visualize and iterate on neural network architectures, experiment with different layer configurations, and validate approaches before committing to production development.

72% Accelerate research hypothesis validation cycles

Enterprise Model Governance

Large organizations leverage PerceptiLabs for centralized model development with version control, access management, and deployment approval workflows that ensure compliance and governance standards.

58% Implement enterprise-grade model governance

Cross-Functional Team Collaboration

Business analysts, data scientists, and engineers collaborate on ML projects in a single visual environment, reducing communication barriers and accelerating decision-making in model development.

81% Enable non-technical stakeholder participation

Custom Computer Vision Solutions

Teams building image classification, object detection, and segmentation models can design and train specialized neural networks with visual feedback on architecture impact and training progress.

65% Develop vision models with visual architecture feedback

ML Model Optimization & Tuning

Data scientists optimize existing models by visually experimenting with layer modifications, activation functions, and training parameters while monitoring real-time performance metrics.

54% Reduce model optimization iteration time

Pricing

Pricing available on request

PerceptiLabs pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

Schedule a Meeting

Key Features

Visual Model Builder

Drag-and-drop neural network design without code

Build complex models 3x faster than traditional coding

Real-Time Architecture Visualization

Instant feedback on model structure and data flow

Identify optimization opportunities during development

Integrated TensorFlow Backend

Native TensorFlow integration with full framework capabilities

Leverage TensorFlow ecosystem with visual simplicity

Model Experimentation & Versioning

Track, compare, and iterate on multiple model variants

Maintain complete audit trail of model evolution

Collaborative Workspace

Multi-user project environment with role-based access

Enable team-based ML development workflows

One-Click Deployment

Export and deploy models to production environments

Move models from development to production in minutes

Reviews

💬

No reviews yet for PerceptiLabs

AiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.

Enterprise Readiness

Project-Level Access Controls

Model Versioning & Audit Trail

Secure Model Deployment

Data Isolation

API Key Management

Integrations

7 total apps

Native integration with TensorFlow framework for full access to ecosystem tools and pre-trained models

Seamless deployment to GCP for scalable model serving and training on cloud infrastructure

Model export and deployment to AWS services including SageMaker for production ML pipelines

Export models as containerized applications for consistent deployment across environments

Integration with Jupyter for advanced analysis and custom preprocessing workflows

Connect to Git repositories for model versioning and collaborative development workflows

Expose trained models via REST endpoints for seamless integration with applications

AiDOOS Managed Deployment

Deploy PerceptiLabs in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

—

Deployments

—

Adoption rate

—

Post-deploy sat.

—

Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for PerceptiLabs

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for PerceptiLabs What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers PerceptiLabs

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

Schedule a Meeting

Frequently Asked Questions

Do I need TensorFlow expertise to use PerceptiLabs?

No. PerceptiLabs is designed for users with varying technical backgrounds. The visual interface abstracts TensorFlow complexity while maintaining full framework capabilities for advanced users.

Can PerceptiLabs models be deployed to production?

Yes. Models can be exported as TensorFlow SavedModels, Docker containers, or REST APIs for deployment to cloud platforms like GCP, AWS, or on-premise infrastructure.

How does PerceptiLabs integrate with our existing ML workflows?

PerceptiLabs integrates with Git for version control, supports standard TensorFlow formats, and via AiDOOS can be integrated into broader data pipelines and governance frameworks for enterprise scalability.

Is collaboration supported for team-based model development?

Yes. PerceptiLabs provides multi-user workspaces with role-based access controls, enabling data scientists and engineers to collaboratively build and iterate on models.

What types of models can I build with PerceptiLabs?

PerceptiLabs supports building neural networks for regression, classification, computer vision, NLP, and custom architectures using its visual component library.

How does AiDOOS enhance PerceptiLabs deployment?

Through AiDOOS marketplace, PerceptiLabs gains centralized governance, standardized deployment workflows, and integration with enterprise infrastructure for scaled, compliant model management.