One install, four environments
The same Howlet runs on a single EC2 instance, in an offline factory, and on a multi-AZ cluster. You don't relearn the product when the environment changes.
The enterprise AI platform that never leaves your perimeter.
Agents, RAG, data pipelines, streaming, model training and serving: one platform, installed on-prem, air-gapped, or in your own AWS account. Your data stays with you.
Every number below is inspectable in the product and the docs.
16Modules
4Deployment modes
1:1Air-gap feature parity
0Telemetry leaving your perimeter
Why Howlet
Four decisions your engineers can verify.
Every headline below is a real mechanism: documented, inspectable and demoable on the product page.
Howlet Coding Agent
One natural-language command, and the agent connects to your own code repo and builds AI and data flows in Howlet Studio 10-25× faster. Your source code never leaves; critical actions require human approval, and every step lands in a tamper-evident audit trail.
GDPR erasure is not a single SQL DELETE
When a subject requests erasure, the data is removed in cascade across seven separate systems. The 30-day window is monitored live, and a signed evidence pack is produced for the regulator.
Data residency, guaranteed by infrastructure
Deploy to the AWS Istanbul Local Zone and keep all data within Turkish borders, or stay fully on-prem and air-gapped. KVKK and GDPR data residency is satisfied at the infrastructure level, not through contractual workarounds.
Coding Agent
Builds autonomously inside your own repo
Send a natural-language command and the Howlet Coding Agent connects to your own code repository, building AI and data flows for you. Your sensitive source code never leaves.
How it works
Connects to your own repo
GitHub, GitLab, Bitbucket or Gitea: the agent runs against your Git infrastructure. Code never leaves the perimeter.
Natural-language chained actions
One prompt: 'Prioritize last week's critical IT tickets and escalate unresolved ones to managers.' The agent chains the steps, executes them, reports back.
GPU-free with LLMaaS
No GPU on hand? The agent drives vendor models from Anthropic, OpenAI or AWS Bedrock straight over their APIs, so you ship GenAI projects without buying or running a single GPU.
Isolated sandbox runtime
Every run executes in its own isolated sandbox with a warm pool and spot failover, and sessions resume exactly where they left off.
Role-based access control (RBAC)
Which systems the agent can touch, which resources it can read, all defined ahead of time. It cannot step outside its scope.
Human-in-the-loop for critical actions
Production deployments, data deletion, high-impact operations: approval is mandatory. Agent speed combined with human control.
Tamper-evident audit
Every command, every tool call, every file change recorded in a SHA-256 hash chain. Retroactive tampering is impossible.
10-25×faster from idea to working flow than classic development cycles, with human approval on every critical step
Pick your own model
Stay fully on-prem for sensitive projects; nothing leaves, ever. Or use cloud models where you choose exactly which context crosses the boundary, and every outbound call lands in the egress audit.
Local LLM
Llama, Mistral, Qwen and similar open-weight models on your own GPUs. No data leaves the organization.
Cloud providers
The latest frontier models from Anthropic, OpenAI and AWS Bedrock, with 45+ models in the catalog. Swap models per workload; every outbound call is egress-audited.
Integrated with every Howlet module
The Coding Agent is not a standalone tool. From data pipelines and model training to MLOps and user authorization, it operates under the same RBAC, the same audit trail and the same identity across every Howlet module.
Data pipelinesModel trainingStream processingKnowledge baseRelease managementSource control
Governance & Compliance
Erasure is a process you can show to a regulator.
When a subject requests erasure, Howlet cleans every system the data passed through. The 30-day statutory window is tracked live and a signed evidence pack is produced automatically.
- Seven-system erasure cascade: object storage, LLM traces, search indexes, analytics, sessions, database and identity.
- Consent receipts signed with ISO 27560 JWS; retroactive policy mutation becomes impossible.
- Audit rows linked by SHA-256 hash chain; every row carries the previous and current hash.
- Regional PII enabled by default: Turkish national ID, tax ID, IBAN and phone, all with checksum validation.
- SIEM fan-out built in: Splunk, QRadar and Sentinel via CEF, HMAC-signed, queued retry on failure.
- AWS Turkey Local Zone support: deploy to Istanbul so data never leaves Turkish borders. KVKK data residency satisfied at the infrastructure level.
- Per-tenant envelope encryption with crypto-shredding: revoke a tenant's key and its data becomes cryptographically unreadable.
- Physical tenant isolation: each tenant's data stores run in a dedicated Kubernetes namespace. Isolation beyond row-level.
Who gets what
A concrete answer for each role
Engineering leaders, CTO/CIOs and CISO/DPOs. Three audiences, three answers in their own language.
Engineering Leader
VP Engineering · Head of ML · Head of Data Platform
- Collapses 6-8 tool categories in your stack into one platform and clears your team's integration backlog.
- Closes the enterprise gaps in open-source tooling (multi-tenancy, RBAC, audit) on your behalf.
- Batch, streaming, ETL and agents in one visual canvas. The platform picks the engine.
CTO / CIO
Strategic technology leadership
- The same product runs from laptop to multi-AZ; no vendor swap or retraining when scope changes.
- No license kill-switch on production: endpoints keep serving through a 30-day renewal gap; your customers never notice.
- Capacity upgrades happen without data migration. You scale up with no downtime.
CISO / DPO
Compliance · Risk · Privacy
- Respond to an erasure request within 30 days, across seven systems, with a signed evidence pack.
- Audit trail is hash-chained; auditors can verify integrity without touching the database.
- Turkish PII (national ID, tax ID, IBAN, phone) on by default. Market priority is in the code, not in translation.
Use cases
Solutions that fit your workload
From knowledge assistants to regulated industries, Howlet adapts to your needs while your data stays with you.
Enterprise AI applications
Deploy production-grade AI agents. Every command runs isolated, passes a three-layer safety filter and lands in the audit log.
Internal knowledge assistants
Open corporate documents to AI safely. Sensitive content is auto-cleaned via redact, mask or hash mode.
Document processing systems
Automatic parser routing for PDF, DOCX and PPTX. Six-step pipeline: store, parse, redact PII, chunk, embed, index.
Enterprise RAG platforms
Switch between four vector backends without rebuilding the knowledge base. Hybrid search by default.
Data engineering & ETL
Design visual pipelines with 184 ready-made building blocks. The platform picks the engine: instant on small data, massively parallel at scale, with exactly-once, crash-safe writes.
Real-time streaming
Ingest event streams in real time, process them with the engine that fits your topology and deploy blue/green. Designed on the same canvas as your batch flows.
Data insight & preparation
Profile any dataset, spot quality issues and wrangle columns with the 84-operation Data Wrangler, then feed the clean result straight into RAG, training or dashboards.
Regulated industries
Bank, telco, public sector, defense. Erasure cascade, hash-chained audit and signed consent receipts run by default.
OT / Air-gapped industrial
Offline installation in a single USB bundle. Audit, erasure runbook and license validation match the online deployment exactly.
16 modules
One codebase, one permission model, one audit trail
Consolidate the 6-8 tool categories in your AI/ML stack (ETL, orchestration, RAG, MLOps, serving, streaming, audit, identity) into one platform; clear your integration backlog.
Agents · MCP · Guardrails
GenAI Studio
Build production-grade AI agents. Each agent runs isolated, with three layers of safety filtering on input, output and execution.
Natural language · Repo-connected
Coding Agent
Send a natural-language command and the Howlet Coding Agent builds AI and data flows 10-25× faster. Your source code never leaves; every step lands in a tamper-evident audit trail.
Test · Compare · Tune
Playground
Try models, prompts and guardrails in a purpose-built sandbox before anything ships. Every run is traced, metered and reproducible.
RAG · Knowledge base
DataHub
Open your enterprise documents to AI safely. 17 connectors, four vector backends and Turkish-aware PII detection out of the box.
Profiling · Quality
Data Insight
Profile datasets, track quality and wrangle columns with the 84-operation Data Wrangler. Column-level insights update live as you prepare data.
Visual pipelines · auto-engine
Data Engineering
Design ETL and transformation flows visually. The platform picks the right engine: instant on small data, massively parallel at scale. Auto-selected, always overridable.
Training · HPO · Eval
ML Workshop
Train models, run hyperparameter sweeps, measure fairness. GPU quotas, idle shutdown and audit logging are built into every step.
Registry · Deploy · Drift
Model Ops
Register models, promote across three environments, choose canary, shadow or A/B. When drift is detected, retraining is triggered automatically.
Real-time · exactly-once
Stream Processing
Design real-time streams on the same canvas as your batch flows. The platform matches the processing engine to your topology, so you scale without re-platforming.
Functions · Event Bus
Automation
Run serverless functions inside your own perimeter. Schedules, event-bus topics or object arrivals trigger your code, with retries, dead-letter queues and event-native fan-out.
Artifacts · Versioning
Project Explorer
Manage 25+ artifact types in one tree: agents, pipelines, models, knowledge bases and more. Switch context across workspaces and projects without losing your place.
Git · GitOps
Source Control
Your visual artifacts sync with Git automatically. A single atomic commit pushes your whole artifact tree to any of four major Git providers.
Metrics · Trace · Correlation
Observability
Trace a user request from sign-in to LLM call in one window. A log line, a distributed trace and an AI invocation share the same correlation ID.
GDPR · KVKK · Policy
Governance & Compliance
Day-one operations for erasure requests, consent management and policy enforcement. The file you'd hand a regulator is one click away.
Identity · MFA · SSO
IAM
Let employees sign in with their existing corporate identity; when permissions change, they don't need to log in again. SSO and MFA are standard.
Authority · License · GPU · DR
Administration
Four authority tiers: root, platform, tenant, workspace. Idle GPUs scale to zero; backups run continuously without disrupting users.
Deployment
Install it where you need it. Same package, same logic.
Four deployment modes; capacity scales by profile with a single command, no data migration, no downtime. Air-gapped customers get a single USB bundle: images, configuration and offline license included.
4 deployment modes
On-Prem K8S
POC to production
Kubernetes
Air-Gapped
USB bundle
Offline install
AWS Single-Node
EC2 + k3s
TR Local Zone ready
AWS EKS
EKS + ECS
Multi-AZ HA · TR Local Zone
4 editions
StandardCore
- GenAI Studio
- Playground
- Data Hub
- Automation
- Project Explorer
- Source Control
- Administration
Core platform for small teams
Business+ ML
- Everything in Standard
- ML Workshop + Feature Store
- Model Ops (drift, canary, shadow)
- Multi-tenant + more users & workspaces
Multi-tenant teams running ML in production
Enterprise+ Ops
- Everything in Business
- Observability (logs, traces, metrics)
- Coding Agent
- Governance & Compliance suite
Unlimited scale, full compliance
PlatformPartners
- All Enterprise modules
- Pooled multi-tenant licensing
- Edition-weighted budget + sub-licenses
For MSPs and distributors
Add-on modules for any edition: Data Engineering, Stream Data, Data Insight, Air-Gapped.
What's new
Active development, transparent release flow
New capabilities ship continuously, upgrades are non-disruptive, and every change lands in the audit trail.
Read the release notesv1.0
- Coding Agent: persistent sandbox runtime with warm pool, spot failover and session resume.
- Stream Processing v2.0: multi-engine portfolio, blue/green deployment and a built-in schema registry.
- DataHub: Turkish PII recognizers default; four vector backends with hot swap.
- Model Ops: four-test drift ensemble; automatic retraining when thresholds cross.
- Profile upgrades with a single command: `howlet-admin profile upgrade --to medium`.
Sovereignty & compliance
Your data stays on-prem, in your air-gapped facility or inside your own AWS account. Howlet never ships telemetry off your perimeter.
ISO 27001 certified
GDPR Art. 15/17/20
KVKK Art. 7
ISO 27560 consent
SHA-256 hash audit
TCKN / VKN default
SAML / OIDC / LDAP
AWS TR Local Zone
Air-gap parity
SIEM CEF fan-out
Ready when you are
See your scenario running in a 30-minute demo: training to serving, RAG to disaster recovery.
Installed on your own infrastructure, licensed by module, scaled by profile. No rip-and-replace.
On-prem · air-gapped · AWS. Your data stays with you, the proof stays in the chain.