AUTOFICIAL / LABS
Independent applied intelligence lab / Bangalore
We investigate emerging capabilities, build the AI and automation around them, then stress-test the entire system against real operating constraints. What survives becomes dependable production infrastructure.
THE 5% / IN PRACTICE
A model demonstration is not an enterprise system.MIT-linked research reported by Fortune found that about 5% of enterprise generative-AI pilots in its dataset achieved rapid revenue acceleration, while the majority delivered little measurable P&L impact. The reported divide was less about model quality than integration, adaptation, and organizational learning. Read the Fortune summary
That is the hard layer we build: applied research, infrastructure, workflow integration, human control, and product execution in one team. We work from the operational constraint backwards so the result reaches deployment, withstands pressure, and earns measurable adoption.
Delivery evidence / selected
Named clients. Compressed timelines. Systems that had to work in production, not merely present well.
We designed and shipped a live management system for high-pressure hospitality operations, earning an honorary award from the hospitality department.
A real-time Freshdesk and Slack workflow that triages operational tickets with AI while preserving human approval where judgment matters.
AI call analysis on GCP, a microservices foundation, and a PBX migration from Asterisk to FreeSwitch for greater scale, security, and reliability.
What we engineer
Model capability is only one layer. We connect intelligence, interfaces, infrastructure, and operational control into one working system.
Headless ReACT workflows, browser control, RPA, MCP, A2A, ACP, OpenAI Apps, and approval architecture for actions that carry risk.
Multilingual RAG, semantic search, large-document OCR, ETL pipelines, and industry-specific extraction built for on-premises, AWS, or GCP.
Object detection, tagging, video triggers, retail vision, NVIDIA Cosmos and DeepStream, plus multimodal VLM deployments.
Telephony, WhatsApp Cloud API, multilingual agents, FreeSwitch, CRMs, ERPs, and self-hosted or cloud AI deployment.
Model fine-tuning, vLLM and llama.cpp serving, AI gateways, LLMOps, guardrails, OpenShell/Nemoclaw, and compliance-led architecture.
Architecture library / production AI
Real implementation patterns across retrieval, documents, vision, voice AI, evaluations, model serving, guardrails, agents, and infrastructure economics.
Multilingual semantic search and source-grounded retrieval on-premises or across AWS and GCP.
Controlled deployment foundations for internal environments and organization-specific AI operations.
Industry-specific extraction, classification, validation, and downstream workflow automation.
Camera-feed analytics, detection, tagging, and event-triggered actions for operational environments.
GRPO, PEFT, and LoRA adaptation across Qwen, Gemma, and GPT-OSS-class models.
Jailbreak resistance, hallucination controls, policy enforcement, evaluation, and observability.
Continuous quality measurement, trace analysis, regression testing, and production feedback loops with Langfuse, LangSmith, and Latitude.
Private model serving and serverless GPU inference optimized for throughput and reliability.
Cost-aware and latency-aware model selection, fallbacks, and scalable runtime control.
Deployment of Moondream, Qwen3 VL, Molmo, and other vision-language or small language models.
Connected agents, OpenAI Apps, tool execution, approvals, and real-time data retrieval.
Low-latency conversational systems with interruption handling, telephony integration, orchestration, and production monitoring using LiveKit and Pipecat.
NVIDIA Cosmos and DeepStream pipelines for advanced visual understanding and response.
End-to-end stack blueprints that connect models, infrastructure, devices, and business systems.
Proprietary systems / active research
Products, open infrastructure, and applied research built inside Autoficial Labs.
The open human-in-the-loop approval layer for AI agents, copilots, CLIs, IDE assistants, browser agents, and headless runtimes.
Scalable, self-hostable voice infrastructure with agentic AI for enterprise customer interaction workflows.
Predictive delivery operations with a managed fleet and demand-aware routing.
Visit product ↗Computer vision and ML for instant virtual try-ons and more efficient in-store operations.
Persistent digital reconstruction despite writer occlusion and changing board content.
Delivery ledger / complete
Current delivery, startup and institution work, and earlier team experience. Each record pairs the client identity with the system delivered.
Real-time golf-cart management for live tournament hospitality operations.
AI-powered Freshdesk and Slack ticket orchestration with human approval.
Realtime call analysis, GCP microservices, and FreeSwitch modernization.
CRF CST, ISO 27001, SOC 2, HIPAA, GDPR, and custom product delivery.
CRM strategy and broader IT requirements consultancy.
AI, automation, digital twin, 3D, and point-cloud advisory.
Digital presence with a WhatsApp-based e-commerce checkout.
WhatsApp Cloud Business API and Facebook Business Manager consultancy.
Digital presence and 3D walkthrough implementation.
Integrated buy-and-sell phone system and digital presence.
IT infrastructure consultancy and industry evaluation support.
Multilingual RASA and FastText bot across WhatsApp, X, and web chat.
ML concept engine, FastAPI backend, Firebase sync, and authentication.
Realtime conference booking application for Android and iOS.
WhatsApp appointment booking integrated with hospital systems.
Customer-facing multilingual WhatsApp automation for transport.
Location-based multilingual WhatsApp agent assignment.
Odoo CRM synchronization with WhatsApp workflows.
Vision AI invoice handling, farm logistics, and bank payment integration.
WhatsApp ordering connected directly to backend data.
WhatsApp ordering integrated with operational backend systems.
WhatsApp notification system connected to CRM workflows.
WhatsApp-based employee leave management.
Attendance payroll management with fingerprint synchronization.
Python, KNIME, and Tableau data-to-decision pipeline.
WhatsApp-based airway-bill tracking system.
Collaborative realtime truck-health checklist for Android.
After delivery
Live operations“The team moved quickly, kept things clear throughout, and delivered a solid, reliable outcome in real time. The whole process felt smooth and well handled.”
Academic exhibition“The industry evaluation motivated our students and added real value to their learning. The team’s presence and insights made the event more meaningful for everyone involved.”
We implement the technical and operational controls these security and privacy frameworks require. When your organization already works to a strict security standard, we follow it throughout delivery—from access and data handling to evidence, review, change control, and ongoing maintenance.
ISO 27001
SOC 2
HIPAA
GDPR
India DPDP
CCPA
Saudi PDPL
CST CRFControl implementation and operational readiness support; certification and formal legal opinions remain with accredited auditors and counsel.
IndiaEngineering base
Saudi ArabiaEnterprise delivery
UAEEnterprise delivery
QatarLive operationsBangalore engineered / globally deployed
One engineering team working across regional infrastructure, language, compliance, and operational constraints.
Common questions
High-consequence AI, automation, voice, vision, data, and integration work where production readiness matters. We are most useful when the problem crosses disciplines or requires rapid technical de-risking.
Yes. Most enterprise work involves existing CRMs, ERPs, communication platforms, data stores, identity systems, or cloud environments. We can lead delivery or work as a focused engineering unit alongside your team.
Yes. We design cloud, on-premises, hybrid, and self-hosted systems, including private model serving, governance, guardrails, and data controls appropriate to the operating environment.
We keep the decision loop short, test the riskiest assumption first, reuse proven infrastructure, and treat security, observability, and human control as architecture rather than cleanup.