// company architecture

Engineers, not intermediaries

Consolidated deep-tech consultancy uniting 5 domain labs under a single unified engineering governance model.

LAB FOOTPRINT

18 Offices across India, GCC & SE Asia

// STANDARDS & MEMBERSHIPS

VERIFIED

Engineered to strict enterprise and ISO quality guidelines.

ISO

ISO 9001:2015

Certified QMS

QMS

Quality Audit

Process Assured

CII

CII Member

Industry Body

MSME

Govt. Registered

Deep Tech Lab

View all security & compliance certs

// CLIENT SECTORS

Partnering by scale

Whether co-developing alongside internal engineering teams or delivering 0-to-1 systems.

View engagement models
// ENTERPRISE

Enterprise Scale

Modernizing core stacks, integrating high-throughput LLM intelligence, and scaling high-availability systems.

// STARTUPS

Deep-Tech Startups

Accelerating 0-to-1 hardware & AI prototype builds to reach production deployment quickly.

// HEALTH & BIO

Healthcare & Life Sciences

Compliant delivery adhering to strict patient data security and bio-computing performance standards.

// RESEARCH

Applied R&D Labs

Translating paper research and academic proofs into production-hardened C++/Python systems.

// ACADEMIA

Universities & Grants

Joint technology initiatives, grant engineering execution, and specialized testbed builds.

// IMPACT

Non-Profit & Impact

Deploying scalable AI and edge technology solutions for global infrastructure and conservation.

Full-Stack Practice Matrix

Engineering built for production reality, not notebooks.

Explore our specialized practices. From edge robotics and sovereign LLM deployments to orbital space flight software—every solution is architected and shipped by senior domain engineers.

06

Core Practices

100%

IP Ownership to Client

Air-Gapped

On-Prem Readiness

< 4 Wks

First Prototype POC

Filter Lab:
[ PRACTICE 01 ] Applied AI

Artificial Intelligence

Vision, forecasting, and decision engines engineered to process raw sensor signals and enterprise telemetry into real-time operational action.

Core Technologies

PyTorch OpenCV TensorRT YOLOv8

Specific Capabilities

Computer Vision & OCR

Edge object detection, multi-camera tracking, document layout understanding.

Forecasting & Anomaly Engines

Time-series forecasting, equipment degradation warning, fraud detection.

Decision Optimization

Dynamic routing, supply chain constraint solvers, real-time dispatching.

Signal Intelligence

Audio classification, vibration spectral analysis, sensor telemetry processing.

[ PRACTICE 02 ] ML Infrastructure

Machine Learning Platforms

Automated data pipelines, model serving architectures, and continuous retraining frameworks that prevent model decay over long production runs.

Core Technologies

Kubeflow MLflow Feast Ray

Specific Capabilities

Feature Store Architecture

Standardized feature pipelines for offline training and ultra-low-latency online inference.

Automated Model Serving

High-throughput microservices using Triton Inference Server and vLLM acceleration.

Drift Detection & Retraining

Continuous monitoring of data drift, model degradation, and automated trigger pipelines.

Edge Model Quantization

Model compression (INT8/FP16) optimized for NVIDIA Jetson and constrained edge silicon.

[ PRACTICE 03 ] Generative Systems

LLM Builds & Agents

Enterprise RAG architectures, sovereign multi-agent systems, and model distillation on open weights (Llama 3, Mistral) for privacy-first operations.

Core Technologies

Llama 3 Qdrant LangGraph vLLM

Specific Capabilities

Hybrid Vector/Graph RAG

Multi-modal retrieval architectures over complex tabular, unstructured, and CAD documents.

Autonomous Agent Tooling

Multi-agent execution frameworks that invoke external APIs, SQL engines, and Python runtimes.

Domain Fine-Tuning (LoRA)

Parameter-efficient fine-tuning for domain jargon, specialized tasks, and structured outputs.

Air-Gapped Sovereign Deployment

On-premise deployment guaranteeing zero outbound network data leaks to 3rd party providers.

[ PRACTICE 04 ] Quality Assurance

AI Testing & Evals

Independent evaluation protocols, adversarial red-teaming, and continuous safety benchmarks designed to quantify model performance before production release.

Core Technologies

Ragas DeepEval Promptfoo Garak

Specific Capabilities

RAG Evaluation Suites

Quantitative evaluation of context precision, context recall, faithfulness, and answer relevance.

Adversarial Red-Teaming

Automated prompt injection testing, jailbreak vulnerability scans, and system leak analysis.

Policy & Safety Guardrails

Real-time inference guardrails filtering harmful outputs, PII leaks, and off-topic queries.

Regression Testing CI/CD

Integration of evaluation benchmarks directly into GitHub Actions or GitLab CI build steps.

[ PRACTICE 05 ] Autonomous Hardware

Robotics & Edge Systems

Hardware-software integration, real-time SLAM navigation, and micro-robotics firmware designed for reliable execution on constrained hardware.

Core Technologies

ROS 2 C++20 FreeRTOS Nav2

Specific Capabilities

LiDAR/Visual SLAM

Real-time 3D mapping and localization in dynamic, non-GPS warehouse and outdoor environments.

Micro-Robotics Control

Sub-millimeter actuator timing, PID motion profiling, and custom motor driver firmware.

Edge Sensor Fusion

Multi-sensor alignment combining IMU, wheel odometry, depth cameras, and ultrasonic arrays.

IoT Fleet Telemetry

MQTT/ProtoBuf bandwidth-optimized telemetry streaming from edge nodes to cloud central.

[ PRACTICE 06 ] Aerospace / Orbital

Space Technology

Payload software, ground telemetry parsing, and mission-critical operations software built for zero-fault tolerance conditions.

Core Technologies

cFS / cFE Rust CCSDS Standards Python / C++

Specific Capabilities

Flight & Payload Software

Fault-tolerant onboard data processing, instrument scheduling, and fault detection (FDIR).

Ground Station Telemetry

CCSDS packet ingestion, pass handling, and real-time telemetry streaming platforms.

Mission Operations Suites

Satellite constellation monitoring, command generation, and pass execution dashboards.

Orbital Simulation Tooling

Software-in-the-loop (SIL) hardware simulation environments for pre-launch validation.

Flexibility

How You Can Engage Our Labs

We adapt to your internal capabilities—whether building a greenfield core system or embedding alongside your existing teams.

01

Full Turnkey Build

You provide the problem statement and domain constraints. We take ownership from system discovery, architecture design, to deployment and documentation.

Ideal for: Greenfield systems & R&D spin-offs

02

Embedded Engineering Taskforce

A pod of senior engineers (AI, Embedded, MLOps) joins your team directly to accelerate a critical build phase without adding long-term hiring overhead.

Ideal for: Rapid timeline acceleration

03

Architecture Audit & Red-Teaming

An independent evaluation of your existing AI models, robotics control loops, or cloud infrastructure to identify failure modes, security risks, or bottlenecks.

Ideal for: Pre-launch production verification

Next Step

Have a hard engineering challenge?

Book a technical call directly with one of our practice leads to evaluate technical feasibility.