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SERVICES / AI & AUTOMATION

Turn information into intelligent action.

We integrate AI into business workflows to reduce repetitive work, unlock information and build smarter digital experiences.

✓ Architecture Scoping✓ Direct Engineering Lead✓ Transparent Milestones
AI Data Pipeline & Execution Flow
RAG VERIFIED
01Unstructured Data
Invoices, PDFs & Support Queries
02RAG & Vector Retrieval
pgvector Semantic Search
03LLM Pipeline & Schema Parsing
Deterministic Guardrails & OCR
04Automated Action
Webhook Dispatch & DB Update
> pipeline.evaluate()100% Deterministic

Extract schema parsed: { "status": "approved", "latency": "380ms" }

OPERATIONAL VALUE

Practical AI integration designed to solve concrete operational problems.

Rather than chasing generic AI hype, we integrate machine learning and large language models into specific operational workflows—turning unstructured documents, customer queries, and multi-step procedures into automated, verifiable actions.

01

Eliminate Manual Document Processing

Automate intake, optical character recognition (OCR), metadata extraction, and indexing from incoming files.

02

Intelligent Search on Private Data

Enable teams to query institutional knowledge bases using semantic vector search and exact reference retrieval.

03

Automated Multi-Step Workflows

Trigger automated notifications, data validation, and handoffs across different business tools.

WHAT WE BUILD

Engineered for concrete business workflows.

Every software product we build is structured around real operational requirements, strict data boundaries, and measurable outcomes.

01

AI Assistants & Copilots

Specialized conversational agents and workflow copilots designed around your company's proprietary data, SOPs, and internal tools.

Context Retrieval • Strict Guardrails • Action Execution
02

Document Intelligence Systems

Automated pipelines that ingest, OCR, classify, and extract structured key-value pairs from contracts, forms, and invoices.

Neural OCR • Table Extraction • Schema Validation
03

Intelligent Semantic Search

Vector-powered search engines that allow staff and clients to search institutional documentation by conceptual meaning.

Vector Embeddings • Hybrid Search • Source Citations
04

Workflow Automation Engines

Event-driven background automation connecting disparate systems, dispatching alerts, and transforming data without human intervention.

Event Triggers • Webhooks • Error Recovery
05

AI-Powered Applications

Custom digital products with native AI features embedded directly into client dashboards, user portals, and analytics views.

Text Summarization • Categorization • Automated Drafting
FULL LIFECYCLE

End-to-End Capabilities

From initial scoping and system architecture through deployment and long-term maintenance.

Large Language Model (LLM) Integration
Retrieval-Augmented Generation (RAG)
Prompt Engineering & Schema Constraints
Document Processing & OCR Extraction
Vector Database & Embedding Pipelines
Automated Workflow & Webhook Triggers
Data Classification & Entity Recognition
Private & Secure AI Architecture
Evaluation, Testing & Quality Guardrails
AI Analytics & Usage Monitoring
OUR APPROACH

From technical discovery to continuous evolution.

We follow a structured engineering lifecycle that minimizes risk, maintains architectural clarity, and delivers working software in verifiable milestones.

STEP 01

Discover

We analyze your business workflows, operational bottlenecks, user personas, and technical requirements before writing a single line of code.

STEP 02

Architect

We define the system architecture, database schemas, API boundaries, security models, and cloud infrastructure roadmap.

STEP 03

Design

We craft intuitive, accessible user interfaces and interactive prototypes that mirror real operational flows.

STEP 04

Build

We write modular, type-safe code using modern frameworks, continuous integration, and clean architectural patterns.

STEP 05

Test

We execute unit, integration, end-to-end, performance, and security testing across multiple devices and environments.

STEP 06

Deploy

We orchestrate automated, zero-downtime deployments with staging environments, SSL provisioning, and domain routing.

STEP 07

Evolve

We monitor application metrics, respond to user feedback, patch dependencies, and iteratively build new capabilities as your business scales.

TECHNOLOGY STACK

Proven, Maintainable Engineering Standards

We build with type-safe, actively maintained technologies selected for speed, security, and long-term ecosystem stability.

AI & MODEL APIS
OpenAI APIAnthropic ClaudeGoogle GeminiFastAPI Pipelines
VECTOR & SEARCH
pgvector (PostgreSQL)Redis SearchPineconeHybrid Search
DOCUMENT & EXTRACTION
Tesseract OCRPDF ParsersPydantic SchemasLangChain
BACKEND & AUTOMATION
PythonNode.jsCelery / QueuesWebhook Dispatchers
PROVEN IMPLEMENTATION

Featured Engineering in Action

Real products and platforms engineered by Develoke demonstrating our architecture, technical execution, and reliability standards.

DOCUMENTADocument PlatformIntelligent Document Indexing

Automated OCR & Document Intelligence

Documenta is an enterprise platform developed by Develoke that automates document ingestion, text extraction, automated metadata tagging, and compliance validation.

Core Technology:
Next.jsPythonOCR PipelinesSecure Storage
DOCUMENTA // OCR_PIPELINE
INTELLIGENT OCR
PDF / Scans
Intake Stream
OCR Engine
Structured JSON
Cloud Vault
RBAC Indexed
Parsing: Deterministic
Automated Indexing
ENGINEERING PRINCIPLES

Why build with Develoke?

We focus on technical rigor, direct accountability, and practical business value rather than agency buzzwords.

Business First

We understand the operational and commercial problem before choosing the technology stack. We never over-engineer for the sake of complexity.

PRINCIPLE 01

Modern Engineering

We build with maintainable, type-safe architectures, strict code standards, automated testing, and proven open-source technologies.

PRINCIPLE 02

Transparent Process

Direct engineer communication, clear milestone tracking, iterative progress demos, and complete visibility into project status.

PRINCIPLE 03

Built to Evolve

Products are architected with clean interfaces and modular boundaries so they can scale, integrate, and adapt as your organization grows.

PRINCIPLE 04
FREQUENTLY ASKED QUESTIONS

Clear answers to common questions.

Everything you need to know about our engineering approach, timelines, and collaboration models for ai & automation.

We employ Retrieval-Augmented Generation (RAG) with strict source citation constraints, schema validation (e.g., Pydantic/JSON Schema), and deterministic guardrails that restrict models to only verified business information.
LET'S BUILD

Have a problem worth solving?

Tell us what you're trying to build, improve or automate. We'll help you determine the right technical architecture and development roadmap.

Direct engineering response within 24 business hours.