Services

Architecture first.
Every capability hits together.

Several capabilities only become powerful when they operate as one system. KOIT starts with boundaries, data flows, trust zones, integration contracts, failure modes and measurable operating targets—then aligns AI, backend, data, security, blockchain and DevOps around that architecture.

The KOIT delivery model

Design the system once. Accelerate every team after.

Architecture-first delivery reduces late surprises. Before implementation, we make the most expensive decisions visible: ownership, contracts, security boundaries, transaction semantics, resilience, data lineage and operating responsibility.

01System boundaries

Define responsibilities, services, domains and ownership before code expands.

02Trust & control

Identity, authorization, approval, encryption and auditable execution.

03Data & integration

Contracts, events, schemas, lineage, consistency and external dependencies.

04Operate by design

Resilience, observability, SLOs, rollback, incident handling and recovery.

AI
01 · Artificial intelligence

AI & Agentic Systems

Move beyond demos to governed agents and AI workflows that can safely act across real enterprise systems.

Discuss this capability →

What we build

Secure AI agentsTools, approvals, least privilege and end-to-end traces.
Enterprise RAGGrounded retrieval with permission-aware knowledge access.
Workflow automationAgents integrated with APIs, ERP, CRM, documents and operations.
AI evaluationQuality, safety, latency, cost and failure-case test suites.
Typical outputs
  • Agent architecture and tool permission model
  • RAG/model integration and evaluation harness
  • Guardrails, approvals and audit traces
  • Production monitoring and incident controls
$
02 · Fintech

Financial Transaction Systems

High-integrity systems where balances, state transitions and settlement outcomes must remain correct and explainable.

Discuss this capability →

Capabilities

Payments & walletsAuthorization, limits, idempotency and lifecycle state.
Ledger engineeringDouble-entry posting, immutable records and reconciliation.
AML/KYC & fraudRisk signals, cases, graph analysis and investigation support.
SettlementAsync state, retries, exception queues and external networks.
Engineering focus
  • Transaction state machines and failure handling
  • Audit evidence and maker-checker controls
  • API/event contracts
  • Load, consistency and recovery testing
</>
03 · Platform

Backend & Distributed Systems

Resilient services for products that have outgrown simple application architecture.

Discuss this capability →

Capabilities

Go servicesREST/gRPC, concurrency, domain boundaries and clean contracts.
Event-driven systemsKafka/NATS, async workflows, replay and dead-letter handling.
Data platformsPostgreSQL, Redis, MongoDB and high-integrity data models.
Cloud-native runtimeContainers, Kubernetes, scaling and production visibility.
Architecture evidence
  • Context, container and sequence diagrams
  • API/data contracts and ADRs
  • Performance baselines and resilience tests
  • Deployment topology and runbooks
⬡
04 · Security

Cybersecurity & DevSecOps

Security engineered into identity, data, APIs, pipelines, infrastructure and AI tool boundaries.

Discuss this capability →

Capabilities

Identity & accessOIDC/OAuth, RBAC/ABAC and service identity.
Threat modelingAssets, trust boundaries, attack paths and controls.
Secure SDLCSAST, DAST, dependency and secret scanning.
AI securityPrompt injection, tool misuse, data leakage and privilege.
Security outputs
  • Threat model and security architecture
  • Control matrix and test scenarios
  • Pipeline gates and evidence
  • Remediation backlog by impact
↗
05 · Data

Data, BI & Decision Systems

Turn operational data into governed metrics, traceable KPIs and decisions teams can defend.

Discuss this capability →

Capabilities

Data warehouseDimensional models, marts and lineage.
BI productsExecutive, operational and supervisory dashboards.
Data qualityValidation, ownership, frequency and confidentiality.
AI analyticsNatural-language analysis with governed data access.
Typical outputs
  • Data dictionary and source mapping
  • KPI definitions and semantic layer
  • Warehouse/lakehouse architecture
  • Dashboard prototypes and decision workflows
◇
06 · Digital assets

Blockchain, Tokenization & NFTs

Design digital-asset systems around ownership, programmable rules, custody, interoperability and verifiable lifecycle events.

Discuss this capability →

Capabilities

Blockchain platformsPublic or permissioned ledgers, smart contracts and interoperability.
TokenizationIssuance, transfer restrictions, custody and settlement workflows.
NFT systemsIssuance, metadata integrity, ownership history and utility workflows.
Smart contracts & custodyContract controls, wallets, key management and monitoring.
Architecture focus
  • Network, contract and integration architecture
  • Token/NFT lifecycle and data model
  • Custody and key-management boundaries
  • Monitoring, auditability and operational controls
⚙
07 · Operations

DevOps, Cloud & Private Infrastructure

Delivery platforms for cloud, hybrid and controlled on-prem environments.

Discuss this capability →

Capabilities

CI/CDAutomated builds, tests, artifacts, releases and approvals.
Offline DevOpsLAN-hosted Git, CI, registries and artifact repositories.
ObservabilityMetrics, logs, traces, alerts and SLOs.
Platform securitySecrets, images, policies and supply-chain controls.
Operational outputs
  • Pipeline and environment architecture
  • Deployment automation
  • Monitoring dashboards and alerts
  • Backup, recovery and runbooks

Several capabilities. One coherent system.

That is the power of architecture-first delivery: every engineering discipline knows its contract, its boundaries, its controls and its operating responsibilities before implementation accelerates.

Talk to Engineering →