Forward-Deployed Engineering · Est. Dhaka

Forward-Deployed
AI Engineering
for Complex
Organizations.

Verne designs and builds bespoke AI agents, operational software, data systems, and mission-critical integrations for teams whose workflows are too important, too specific, or too complex for off-the-shelf tools.

AI SystemsOperational SoftwareData InfrastructureSecure Integration
Raw Data
Ingest
AI Agents
Human Review
Workflow
Dashboard
Outcome
Audit
OPERATING GRAPH · v4.2NODES 8 · EDGES 10
The Problem

Most organizations don't need another app.
They need their operations to think.

Your business logic is already there. It's just trapped across spreadsheets, legacy systems, inboxes, PDFs, siloed databases, field reports, and undocumented human routines. Verne maps that environment and builds AI-native systems that connect people, data, and decisions.

BEFORE VERNESTATE / FRAGMENTED

Operational logic trapped in tools, people, and process.

  • Fragmented tooling across departments
  • Manual document review & routing
  • Repeated reporting from disconnected sources
  • Legacy systems no one owns
  • Hidden operational & compliance risk
  • No single source of truth
AFTER VERNESTATE / OPERATING SYSTEM

One intelligent operating layer across your real workflows.

  • AI-assisted workflows with human review
  • Unified mission dashboards
  • Reliable system-to-system integrations
  • Audit-ready logs & evaluations
  • Role-aware permissions & guardrails
  • Measurable performance gains
Forward-Deployed Engineering

We don't disappear after discovery.
We build inside the operational reality.

Embedded enough to understand the work. Technical enough to rebuild the system. Our engagement model is engineered for organizations that need real software shipped against real constraints, not consulting decks.

01

Enter the Field

We study your workflows, documents, systems, bottlenecks, stakeholders, and operational constraints.
02

Map the System

We identify decision points, data flows, repetitive work, compliance risks, and automation opportunities.
03

Design the Architecture

We define the agent layer, data layer, integration layer, human review layer, and security controls.
04

Build the First Operating Loop

We ship the smallest valuable system that performs real work, not a slide deck.
05

Measure, Harden, Expand

We instrument the system, evaluate accuracy, reduce failure modes, improve UX, and scale across departments.
06

Stay Embedded

We continue improving the system as the organization evolves. Forward-deployed, not parachuted.
STEP 04 · Build the First Operating LoopSYSTEM DEPTH · 4/6
MEASURED OUTCOMES·
DASHBOARDS & OUTPUT·
WORKFLOW & REVIEWACTIVE
AGENT LAYERACTIVE
DATA & DOCUMENTSACTIVE
OPERATIONAL CONTEXTACTIVE
Selected Systems

Real systems, deployed against
real operational constraints.

FLAGGED · 3
LEGAL · COMPLIANCEINTERNAL DEMO

Contract intelligence agent that extracts obligations, flags risk clauses, and routes to owners.

Document agent stack with grounded retrieval, evidence linking, and role-aware approvals.

85%
Review Time Saved
100%
Evidence Traceability
0
Hallucinated Citations
ENG · CONSTRUCTIONCASE STUDY

Digital twin + field inspection app for a 480-acre infrastructure programme.

BIM-integrated twin with mobile inspection workflows, automated defect routing, and project-intelligence dashboards.

31%
Schedule Compression
1.8k
Inspections / Month
$4.2M
Rework Avoided
Technology Posture

Production-grade tools. Engineered for audit.

Next.js
App Router
Python
FastAPI
Postgres
pgvector
AWS
GovCloud
Azure
Sovereign
Kubernetes
K8s
Three.js
WebGL
LangGraph
Agents
OpenTelemetry
OTel
Snowflake
Warehouse
Temporal
Workflows
SOC 2
Posture
AI Systems Readiness Audit

Bring us your
most complex workflow.

In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.

Tell us what is broken. We will map the system.