Autonomous Cars R&D

Autonomous Software
That Knows Where It Is,
Where It's Going,
and Why.

We don't build cars. We build the perception, localization, and decision-making software that makes any vehicle autonomous — on any hardware stack.

Real-Time
End-to-End Pipeline
Multi-Sensor
Fusion Architecture
Adaptive
Motion Planning
ROS2
Native Runtime

Core Capabilities

We specialize in the three fundamental pillars of autonomous navigation.

Perception & Sensor Fusion

We fuse LiDAR point clouds, camera frames, and radar vectors into a single coherent environmental model — in real time, on embedded compute.

01

Localization & Mapping

EKF-SLAM pipelines, HD map integration, and multi-modal odometry that keeps the vehicle centered to centimeter precision at highway speed.

02

Planning & Control

From global route planning to real-time MPC trajectory execution — we close the loop between "where am I" and "what do I do next."

03

Our Tech Stack

We build on proven frameworks and high-performance compute optimized for real-time safety-critical environments.

Perception

OpenCV PCL Open3D YOLO v8 TensorRT DepthAI

Localization & SLAM

RTAB-Map Cartographer AMCL EKF NavSat HDMaps

Planning

Nav2 MPC A* Hybrid A* Frenet Planner Behavior Trees

Middleware

ROS2 Humble DDS micro-ROS CAN Bus Autoware.Universe

Compute Targets

Jetson AGX Orin Drive PX Raspberry Pi CM4 x86_64 IPC

Simulation & Validation

CARLA Gazebo LGSVL RViz2 MCAP rosbag2
Methodology

Our Development Pipeline

Simulation-First Development

Every module is validated in CARLA or Gazebo before it touches a vehicle. We don't debug on hardware.

Safety-Critical Standards

Code reviews structured around ISO 26262 awareness. Functional safety isn't a checklist — it's a design constraint from day one.

Hardware-Agnostic Architecture

We write to ROS2 abstractions. Swap the sensor vendor or compute platform without touching the algorithm layer.

Continuous Benchmarking

Every PR runs perception accuracy, latency, and path quality benchmarks automatically. Regression is caught at commit time, not demo day.

1
Phase 1

Perception Pipeline

Sensor driver → point cloud / image preprocessing → object detection & tracking

2
Phase 2

Localization Stack

EKF-SLAM fusion → map building → real-time pose estimation

3
Phase 3

Planning Layer

Global route → local trajectory → behavior state machine

4
Phase 4

Control & Actuation

PID / MPC controller → CAN bus interface → actuator command

5
Phase 5

Simulation Validation

Full-stack test in CARLA → edge case injection → performance report

Who We Partner With

Vehicle OEMs & Tier-1 Suppliers

Need an autonomous software stack or specific perception/planning modules to integrate into an existing vehicle program.

Perception pipeline AUTOSAR integration Sensor calibration

Logistics & Last-Mile Fleets

Deploying AMRs or autonomous delivery vehicles where route predictability and fleet coordination are the hard problems.

Fleet planning SLAM nav Route optimization

Autonomous Vehicle Startups

Building a Level 2–4 system and need domain experts for a specific stack layer — not a generalist firm that "also does AI."

Algorithm development Simulation testing Stack integration

Research & Academic Programs

DARPA challenges, smart city pilots, and university AV programs needing ROS2 development support with rigorous documentation.

ROS2 research stack CARLA simulation Dataset pipelines
Real-Time

Full-Stack Latency

Perception → planning → control that runs in real time. Low latency isn't a benchmark target — it's a design principle baked into every layer.

ISO 26262

Safety-Aware Engineering

We don't certify. We design with functional safety in mind from architecture phase, so certification isn't a rewrite.

Sim → Hardware

No Surprises on Test Day

Every algorithm ships with a simulation validation report. What works in CARLA works on the vehicle.

"We are not a general-purpose AI consultancy. Autonomous vehicle software fails in the gap between perception and planning, between simulation and hardware, between the demo and the edge case. We live in that gap. Every engineer on this team has shipped software that runs on a real vehicle, in real traffic, without a safety driver catching its mistakes."

You know the destination.
We'll write the software
that gets you there.

One call with a senior autonomous systems engineer. No sales process — a direct technical scoping conversation about your vehicle program.