Latent Logic vs Adept AI

Name: Adept AI
Price: Contact sales

Compare specialized AI Tools

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Latent Logic

Adept AI

Latent Logic

Research spinout focused on imitation learning for autonomous driving that was acquired by Waymo and folded into its simulation and behavior modeling work.

Pricing N/A

Category specialized

Difficulty Beginner

Type Web App

Status Active

Adept AI

Agentic AI for enterprises that connects language models to tools and internal systems so employees can complete multi step tasks across apps using natural commands while admins keep security governance and audit trails aligned to policy.

Pricing Contact sales

Category specialized

Difficulty Intermediate

Type SaaS

Status Active

Feature Tags Comparison

Only in Latent Logic

autonomous-drivingimitation-learningsimulationoxfordwaymo

Shared

None

Only in Adept AI

agentsenterpriseworkflowtool-usegovernancesecurity

Key Features

Latent Logic

• Imitation learning that models realistic road user behavior for AV testing
• Focus on trajectories interactions and compliance with traffic norms
• Integration into large scale simulation pipelines post acquisition
• Influential demos and papers that guided scenario generation
• No current standalone product or public pricing under the brand
• Context for researchers studying AV behavior modeling

Adept AI

• Agentic task execution: translate business goals into stepwise plans then operate tools with scoped credentials to update systems reliably under supervision
• Tool and API connectors: integrate CRMs ERPs ticketing and data sources so agents can read write and reconcile records with guardrails in place
• Policy aligned guardrails: restrict actions to vetted playbooks with approvals thresholds and rollbacks to protect systems from unintended changes
• Observability and logs: record actions prompts results and errors so reviewers can audit outcomes resolve incidents and train better playbooks over time
• Human in the loop design: request confirmation for risky steps and route edge cases to operators so accuracy rises without blocking routine tasks
• Security posture options: support private networking identity integration and data residency so InfoSec requirements are met in regulated teams

Use Cases

Latent Logic

→ Study imitation learning approaches for road user simulation
→ Trace the impact of behavioral realism on AV safety validation
→ Map research lineage from academic lab to industrial scale
→ Compare scenario generators used by different AV programs
→ Review acquisition outcomes for ML spinouts in mobility
→ Teach courses on safe autonomy using Latent Logic as case

Adept AI

→ Quote to cash scenarios: prepare proposals update pricing and collect approvals then log activities so sales ops and finance stay aligned in the system of record
→ Order changes at scale: modify shipping details address stock substitutions and customer notes while respecting permissions and raising flags for review
→ Case resolution flows: triage classify and resolve support issues while updating knowledge and escalating only the hard cases to human owners for speed
→ Vendor onboarding: gather documents create accounts set payment terms and validate compliance steps to shorten cycle time without cutting corners
→ IT service tasks: reset accounts provision access and update tickets while following change policies and capturing full audit details for reviews
→ Field operations: schedule technicians order parts and document work with photos and signatures then sync back to asset and billing systems

Perfect For

Latent Logic

researchers AV engineers simulation scientists students and strategists analyzing imitation learning and AV testing history

Adept AI

CIOs, COOs, security and compliance leaders, operations owners and platform teams in regulated or complex environments who need measurable execution from agents with auditable behavior and strict guardrails