Custom Intelligence. Operational Hardware. Zero Abstraction.

LLM agents, automation logic, and embedded systems—engineered to deploy, not demo. Every build is grounded in execution, not exposition.

Browse Deployments

Browse Deployments

Operational Deployments

Operational Deployments

Operational Architectures by BKC

LLM-integrated agents, embedded AI platforms, and responsive interface systems—designed for real-world deployment. Every system is modular, reliable, and tested under production constraints. No prototypes. No demos. Just working systems.

GPT Engineering

GPT Engineering

Persona-Aligned LLM Agents with Scoring Architecture

Custom inference systems built on LLM cores with embedded behavioral protocols, scoring pipelines, and controlled generation logic. Outputs are shaped for persona fidelity, token-bound efficiency, and multi-step reasoning under governed constraints.

Persona Alignment

Behavioral Constraints

AI Workflows

AI Workflows

Autonomous Workflows with Structured Execution Logic

LLM-powered agents deployed across messaging layers and web clients—built with modular routines, async triggers, and scoped decision logic. Architected for hands-free task execution in live systems, with governed control flows and persistent operational state.

Trigger Systems

Async Delivery

Embedded Systems

Embedded Systems

Embedded Compute Platforms with Wireless Interface Layers

Low-power embedded systems engineered for proximity-based communication, autonomous control, and modular sensor integration. Includes custom firmware stacks, radio-layer optimization, and enclosure prototyping—built for deployment in industrial, IoT, and HMI-class environments.

Firmware Stack Dev

Radio Layer Optimization

Web & Systems Design

Web & Systems Design

Interface Architectures with Declarative Control Layers

Frontend systems engineered with responsive layout engines, motion semantics, and declarative logic flows. Built for signal clarity, interaction precision, and modular scalability across distributed UI architectures.

Layout Semantics

Motion Graphs

System Architecture

System Architecture

How Systems Are Built

Each solution follows a defined build process—scoped to specification, validated across stages, and engineered for operational deployment.

Step 1

Scope Definition with Executable Boundaries

The process begins with formal problem identification—defining functional scope, formatting output requirements, and establishing behavioral constraints. Every build starts with clarity, not conjecture.

Workflow Profiling in Progress

System Integrity Check

Process Mapping & Flow Analysis

Execution Speed Audit

Manual Operation Detection

Task Repeatability Classification

Workflow Profiling in Progress

System Integrity Check

Process Mapping & Flow Analysis

Execution Speed Audit

Manual Operation Detection

Task Repeatability Classification

Step 2

Executable Prototypes Under Real Conditions

Every system is prototyped as code, logic, or hardware—validated in live test states. Whether it’s AI orchestration, agent triggers, or physical integration, nothing advances without observed performance under constraint.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"
    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"
    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"
    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"
    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Step 3

Deploy to Spec, Under Load

Solutions are packaged for your architecture—prompt layer, API interface, UI module, or embedded target. Each build is evaluated under execution pressure. If it doesn’t hold, it doesn’t ship.

Execution Layer

Target Environment

Execution Layer

Target Environment

Step 4

Iterate with Data, Not Assumptions

Post-deployment optimization is constraint-driven—only what bottlenecks or fails gets revised. Stability is preserved. Efficiency compounds. No blind rewrites.

LLM Agent Interface

Projected throughput gain: +20% post-trigger patch

Async Task Pipeline

Update available — latency optimization pending

Autonomous Reporting Module

Current version stable — no action required

LLM Agent Interface

Projected throughput gain: +20% post-trigger patch

Async Task Pipeline

Update available — latency optimization pending

Autonomous Reporting Module

Current version stable — no action required

Proven Impact

Operational Systems, Field-Tested and Production-Certified

Autonomous agents, embedded compute platforms, and generative learning modules—each system engineered for deployment, not demonstration. Architected with modular logic and governed execution states, then calibrated and validated under production constraints for sustained reliability and real-world integration.

DRAG TO EXPLORE

DRAG TO EXPLORE

Confidential Embedded Deployments

Custom embedded systems architected under strict confidentiality—built with proprietary firmware stacks, hardware integration layers, and field-tested performance constraints. Each deployment is treated as secure IP from inception to delivery, with all systems engineered for operational longevity and cross-platform execution.

Impact :

40% Reduction in Signal Overhead

3× Runtime Extension via Power Profiling

Sub-2s Communication Latency (Verified)

Device-Agnostic Logic with Cross-Platform Compatibility

Confidential Embedded Deployments

Custom embedded systems architected under strict confidentiality—built with proprietary firmware stacks, hardware integration layers, and field-tested performance constraints. Each deployment is treated as secure IP from inception to delivery, with all systems engineered for operational longevity and cross-platform execution.

Impact :

40% Reduction in Signal Overhead

3× Runtime Extension via Power Profiling

Sub-2s Communication Latency (Verified)

Device-Agnostic Logic with Cross-Platform Compatibility

Persona-Aligned Inference Agents

LLM-based agents with embedded scoring logic, structural constraints, and governed output shaping. Designed for tone precision, latency control, and cross-context stability. Fully typed and token-bounded for deterministic behavior and variant fidelity.

Impact :

80% Reduction in Prompt Drift

95% Output Consistency Across Variants

<500ms Latency (API-Verified)

Typed Interfaces with Token-Limited Execution

Persona-Aligned Inference Agents

LLM-based agents with embedded scoring logic, structural constraints, and governed output shaping. Designed for tone precision, latency control, and cross-context stability. Fully typed and token-bounded for deterministic behavior and variant fidelity.

Impact :

80% Reduction in Prompt Drift

95% Output Consistency Across Variants

<500ms Latency (API-Verified)

Typed Interfaces with Token-Limited Execution

Autonomous Interfaces for Multi-Channel Execution

ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.

Impact :

100+ Daily Interactions per Agent

Zero UI Overhead

Multi-Platform Delivery (Telegram, SMS, Web)

Autonomous Trigger-Response Architecture

Autonomous Interfaces for Multi-Channel Execution

ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.

Impact :

100+ Daily Interactions per Agent

Zero UI Overhead

Multi-Platform Delivery (Telegram, SMS, Web)

Autonomous Trigger-Response Architecture

Programmatic Learning Modules with Structured Output

LLM-driven systems for flashcards, quizzes, and instructional content—generated through scoped prompt design and export-calibrated formatting. Outputs are optimized for readability, recall efficiency, and multi-format distribution.

Impact :

98%+ Text Readability Score

4x Faster Quiz Generation

PDF/HTML/CSV Export Pipelines

Token-Constrained Answer Validation

Programmatic Learning Modules with Structured Output

LLM-driven systems for flashcards, quizzes, and instructional content—generated through scoped prompt design and export-calibrated formatting. Outputs are optimized for readability, recall efficiency, and multi-format distribution.

Impact :

98%+ Text Readability Score

4x Faster Quiz Generation

PDF/HTML/CSV Export Pipelines

Token-Constrained Answer Validation

Operational Gains

Strategic Gains from Applied AI Systems

Deploying automation at the system level improves operational efficiency, compresses cost structures, and accelerates growth through optimized execution layers—measurable, scalable, and built to last.

Productivity Gains via Intelligent Decision Systems

Leverage AI-generated insights to optimize workflows, reduce latency in decision loops, and align operational strategy with real-time data models.

Productivity Gains via Intelligent Decision Systems

Leverage AI-generated insights to optimize workflows, reduce latency in decision loops, and align operational strategy with real-time data models.

Productivity Gains via Intelligent Decision Systems

Leverage AI-generated insights to optimize workflows, reduce latency in decision loops, and align operational strategy with real-time data models.

Enhanced Experience Through Adaptive Interfaces

AI-driven interactions reduce response latency, personalize engagement, and elevate satisfaction by aligning outputs to user intent in real time.

Enhanced Experience Through Adaptive Interfaces

AI-driven interactions reduce response latency, personalize engagement, and elevate satisfaction by aligning outputs to user intent in real time.

Enhanced Experience Through Adaptive Interfaces

AI-driven interactions reduce response latency, personalize engagement, and elevate satisfaction by aligning outputs to user intent in real time.

Continuous Availability, Zero Downtime

AI systems operate autonomously across time zones—ensuring persistent execution, uninterrupted support, and infrastructure stability around the clock.

Continuous Availability, Zero Downtime

AI systems operate autonomously across time zones—ensuring persistent execution, uninterrupted support, and infrastructure stability around the clock.

Continuous Availability, Zero Downtime

AI systems operate autonomously across time zones—ensuring persistent execution, uninterrupted support, and infrastructure stability around the clock.

Operational Efficiency with Cost Compression

AI automation reduces manual overhead, reallocates resources with precision, and lowers operating costs—driving measurable gains in margin and throughput.

Operational Efficiency with Cost Compression

AI automation reduces manual overhead, reallocates resources with precision, and lowers operating costs—driving measurable gains in margin and throughput.

Operational Efficiency with Cost Compression

AI automation reduces manual overhead, reallocates resources with precision, and lowers operating costs—driving measurable gains in margin and throughput.

AI-Augmented Intelligence for Strategic Insight

Advanced models process large-scale datasets to surface patterns, forecast outcomes, and support faster, more accurate strategic decisions across operations.

AI-Augmented Intelligence for Strategic Insight

Advanced models process large-scale datasets to surface patterns, forecast outcomes, and support faster, more accurate strategic decisions across operations.

AI-Augmented Intelligence for Strategic Insight

Advanced models process large-scale datasets to surface patterns, forecast outcomes, and support faster, more accurate strategic decisions across operations.

Scalable Systems with Linear Cost Efficiency

AI architectures scale with business demand—expanding capability without proportional increases in workload, headcount, or infrastructure spend.

Scalable Systems with Linear Cost Efficiency

AI architectures scale with business demand—expanding capability without proportional increases in workload, headcount, or infrastructure spend.

Scalable Systems with Linear Cost Efficiency

AI architectures scale with business demand—expanding capability without proportional increases in workload, headcount, or infrastructure spend.

Solution Packages

System-Grade AI Automation, Aligned to Scope and Scale

Select an implementation tier mapped to your operational needs—engineered for precision, priced for deployment.

Monthly

Annually

Essential Plan

$30/month

Entry-level automation for small teams—ideal for first deployments of AI-enhanced workflows and personal agents.

Includes:

Core workflow automation

Lightweight AI assistant module

Baseline analytics + reporting

Email + chat-based support

Up to 3 system-level AI integrations

Advanced Plan

Popular

$60/month

Mid-scope deployment tier for scaling operations—designed for teams requiring extended AI stack integration.

Includes:

Multi-layer workflow orchestration

AI-driven sales + marketing modules

Expanded analytics generation

Priority-tier support channel

Up to 10 integrated AI endpoints

Enterprise Plan

Custom Scope

Tailored deployments for high-scale systems—architected with full-stack flexibility and hardened compliance.

Includes:

Fully customizable AI architecture

Dedicated technical + strategic advisor

Compliance-aligned delivery pipelines

24/7 priority support SLA

Unlimited AI system integrations

Monthly

Annually

Essential Plan

$30/month

Entry-level automation for small teams—ideal for first deployments of AI-enhanced workflows and personal agents.

Includes:

Core workflow automation

Lightweight AI assistant module

Baseline analytics + reporting

Email + chat-based support

Up to 3 system-level AI integrations

Advanced Plan

Popular

$60/month

Mid-scope deployment tier for scaling operations—designed for teams requiring extended AI stack integration.

Includes:

Multi-layer workflow orchestration

AI-driven sales + marketing modules

Expanded analytics generation

Priority-tier support channel

Up to 10 integrated AI endpoints

Enterprise Plan

Custom Scope

Tailored deployments for high-scale systems—architected with full-stack flexibility and hardened compliance.

Includes:

Fully customizable AI architecture

Dedicated technical + strategic advisor

Compliance-aligned delivery pipelines

24/7 priority support SLA

Unlimited AI system integrations

Monthly

Annually

Essential Plan

$30/month

Entry-level automation for small teams—ideal for first deployments of AI-enhanced workflows and personal agents.

Includes:

Core workflow automation

Lightweight AI assistant module

Baseline analytics + reporting

Email + chat-based support

Up to 3 system-level AI integrations

Advanced Plan

Popular

$60/month

Mid-scope deployment tier for scaling operations—designed for teams requiring extended AI stack integration.

Includes:

Multi-layer workflow orchestration

AI-driven sales + marketing modules

Expanded analytics generation

Priority-tier support channel

Up to 10 integrated AI endpoints

Enterprise Plan

Custom Scope

Tailored deployments for high-scale systems—architected with full-stack flexibility and hardened compliance.

Includes:

Fully customizable AI architecture

Dedicated technical + strategic advisor

Compliance-aligned delivery pipelines

24/7 priority support SLA

Unlimited AI system integrations

Verified Impact

Why Technical Teams Trust Our AI Systems

Deployed automation, measurable gains, and validated performance across enterprise environments.

"Embedded agent deployed with full sensor stack and real-time radio comms. Firmware stack was custom, power profile hit target, and field calibration held. No post-launch regressions."

Systems Engineer

Confidential Industrial Client

"Embedded agent deployed with full sensor stack and real-time radio comms. Firmware stack was custom, power profile hit target, and field calibration held. No post-launch regressions."

Systems Engineer

Confidential Industrial Client

"Embedded agent deployed with full sensor stack and real-time radio comms. Firmware stack was custom, power profile hit target, and field calibration held. No post-launch regressions."

Systems Engineer

Confidential Industrial Client

"Persona-constrained GPT model executed with type-locked outputs and zero hallucination. Consistency across calls was 95%+, latency sub-400ms. Integrated into production-grade scoring architecture without revision."

Platform Lead

Confidential AI Tools Provider

"Persona-constrained GPT model executed with type-locked outputs and zero hallucination. Consistency across calls was 95%+, latency sub-400ms. Integrated into production-grade scoring architecture without revision."

Platform Lead

Confidential AI Tools Provider

"AI interface layered directly into internal messaging ops (Slack + SMS). Trigger-response routines executed clean, async logic ran true across environments. Shipped fast, worked on contact."

Infrastructure Lead

Confidential Ops Team

"AI interface layered directly into internal messaging ops (Slack + SMS). Trigger-response routines executed clean, async logic ran true across environments. Shipped fast, worked on contact."

Infrastructure Lead

Confidential Ops Team

"Modular learning system built to spec—structured prompts, token-bound answer checking, and multi-format export. Internal assessments now generate 4× faster with zero staff bottleneck."

L&D Director

Confidential Enterprise Client

"Modular learning system built to spec—structured prompts, token-bound answer checking, and multi-format export. Internal assessments now generate 4× faster with zero staff bottleneck."

L&D Director

Confidential Enterprise Client

FAQs

Clarity for Every Technical Stakeholder

Targeted answers on deployment, architecture, and integration—built for informed decisions.

How do your GPT agents differ from commercial LLM wrappers?

Are your embedded systems deployable in network-constrained or offline environments?

What mechanisms enforce consistency across generative outputs?

What is your typical build and deployment timeline?

Can your systems interface with legacy or proprietary environments?

How do your GPT agents differ from commercial LLM wrappers?

Are your embedded systems deployable in network-constrained or offline environments?

What mechanisms enforce consistency across generative outputs?

What is your typical build and deployment timeline?

Can your systems interface with legacy or proprietary environments?

Deploy AI Systems That Scale With You

Book a strategy call and align build cycles with real operational needs.

Engineered and Executed by BKC

© All right reserved

Engineered and Executed by BKC

© All right reserved