Featured
The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Case study
Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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New
Private AI on dedicated GPUs

Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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Latest
Field notes: agentic eval at production scale

How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Solutions · The Deneural stack

Fifteen disciplines.
One engineering culture.

From the agentic system that closes your books to the GPU cluster that runs it, the cobot on your factory line, and the satellite ground station listening above — we ship the whole stack, or any slice you need.

Disciplines
15
All shipped to production
Median time
6wk
Pilot to production
Pilot rate
94%
Reach production
Senior engineers
180+
No staff aug
/ 01
LangGraphTemporalHITLTool-use

Agentic AI Systems

Autonomous workflows that read, reason, and write across your operational stack.

  • Use cases: Treasury reconciliation, vendor onboarding, claims triage, IT operations, sales ops.
  • Architecture: Stateful graphs with deterministic guarantees, tool-call validation, deep observability.
  • Evaluation: Every action graded against ground truth; production traffic gated by score thresholds.

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/ 02
RAGEval-drivenRBACCitations

Enterprise AI Copilots

Domain-grounded copilots that work the way your team already works — connected to your data, scoped by your permissions.

  • Surfaces: Slack, Teams, web, IDE, ERP screens, custom UI — embedded where the work happens.
  • Knowledge: Hybrid retrieval across structured + unstructured corpora, with citations and freshness guarantees.
  • Governance: Per-row access, query logging, PII redaction, refusal calibration.

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/ 03
Temporaln8nSagaAudit

AI Workflow Automation

Replace repetitive operational overhead with deterministic rails plus AI judgment.

  • Examples: KYC pipelines, document ingest, invoice matching, contract review, customer ops triage.
  • Reliability: Saga patterns, idempotent steps, deterministic retries, dead-letter handling.
  • Visibility: Per-step lineage, replayability, full audit trail for regulators.

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/ 04
pgvectorQdrantBM25Hybrid

RAG & Knowledge Systems

Internal AI search across your full corpus — structured, unstructured, multilingual.

  • Coverage: Documents, codebases, tickets, emails, audio transcripts, internal wikis.
  • Retrieval: Hybrid sparse + dense, learned ranking, freshness windows, multilingual.
  • Boundaries: Source-aware access control; users see only what they are authorised to.

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/ 05
CVSAMOCREdge

Computer Vision

Quality assurance, safety monitoring, and visual inspection systems for industrial and retail use.

  • Industrial: Defect detection, line monitoring, dimensional inspection, PPE compliance.
  • Retail: Shelf monitoring, footfall analytics, queue prediction.
  • Deploy: Edge inference where latency matters; cloud-batched where it does not.

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/ 06
H100/H200vLLMBYO VPC99.95% SLO

AI Infrastructure & GPU

Private GPU clusters and high-throughput inference, deployed inside your perimeter.

  • Hardware: H100, H200, L40S, A100 — bare metal or cloud, with auto-bursting to spot.
  • Stack: vLLM, TensorRT-LLM, SGLang on Kubernetes with mTLS service mesh.
  • SLO: 99.95% inference availability; P99 ≤ 800ms for 70B-class models.

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/ 07
Next.jsDjangoPostgresMulti-tenant

Enterprise Software

Custom platforms, internal tools, customer portals — engineered to be extended by AI.

  • Surfaces: Web, mobile, embedded; multi-tenant or sovereign.
  • Patterns: Event-sourced where it earns it; CRUD where it does not.
  • Standards: Accessibility, i18n, observability baked in from line one.

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/ 08
ERPNextOdooFrappeSAP migration

ERP & Operations

Implement, migrate, and extend ERPNext, Odoo, and custom ERP — then layer AI agents on top.

  • Modules: Finance, supply chain, manufacturing, HR, CRM, projects, assets, quality.
  • Migrations: SAP, Oracle, Tally, Dynamics — phased, with parallel-run validation.
  • AI extensions: Document ingest, demand forecasting, anomaly detection, agentic close.

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/ 09
SOC 2ISO 27001Zero-trustPrompt-injection

Cybersecurity

AI security audits, zero-trust deployments, certification readiness, and ongoing posture management.

  • Architecture: Zero-trust by default — mTLS service mesh, BYO KMS, no public ingress.
  • AI-specific: Prompt-injection defense, data exfiltration controls, model isolation.
  • Certifications: SOC 2 Type II, ISO 27001, HIPAA, RBI guidance.

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/ 10
IcebergdbtAirflowClickHouse

Data Platforms

Lakehouses, ETL pipelines, analytics, and data observability — the foundation under any AI deployment.

  • Storage: Iceberg / Delta lakehouses across S3, GCS, MinIO, or on-prem.
  • Transform: dbt + custom Python where dbt is not enough.
  • Serve: Postgres, ClickHouse, DuckDB — picked per query profile.

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/ 11
ROS 2SLAMSim2RealEdge AI

Robotics

Perception, planning, and control stacks for cobots, mobile robots, and inspection systems.

  • Stack: ROS 2 navigation, SLAM, ML perception, MoveIt planning.
  • Simulation: Isaac Sim / Gazebo with domain-randomisation for sim-to-real transfer.
  • Deploy: Industrial-grade on Jetson, x86 ruggedised, or custom hardware.

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/ 12
TelemetryMCSOpsAnomaly AI

SpaceTech

Ground systems, telemetry pipelines, and mission-control software for space-bound payloads.

  • Ground: TT&C, station scheduling, anomaly detection on telemetry streams.
  • Mission control: Pass planning, command sequencing, anomaly response runbooks.
  • Data: High-throughput payload data ingest and downstream science pipelines.

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/ 13
LMSContent AIAssessmentOutcomes

Hybrid Education

AI-native learning platforms with content ops, assessment AI, and outcomes intelligence.

  • Platform: Custom LMS with adaptive paths, multi-modal content, and offline support.
  • Content ops: AI-assisted curriculum design, accessibility, localisation.
  • Outcomes: Per-student progression analytics with intervention triggers.

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/ 14
LiDARHD mapsSim2RealFleet AI

Autonomous Vehicles

Perception, planning, and fleet orchestration for industrial AVs and last-mile applications.

  • Perception: Multi-sensor fusion (camera + LiDAR + radar), 3D object detection, tracking.
  • Planning: Behavior + motion planning with safety envelopes; HD map integration.
  • Fleet: Mission assignment, remote ops, anomaly investigation, OTA updates.

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/ 15
SCADAMESOPC-UAEdge

Plant Automation

MES, SCADA, IIoT, and AI bridges that turn industrial data into operational decisions.

  • Backbone: OPC-UA / MQTT bridges from PLC + DCS to modern data layers.
  • Decisions: Predictive maintenance, OEE intelligence, anomaly detection on sensor streams.
  • Operations: Operator dashboards, shift handover automation, deviation workflows.

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Pick a discipline. Or all of them.

Engagements scale from a five-day discovery to multi-year managed engineering relationships.