- 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.
A solution for every organization
Howlet Studio adapts to your sector, your compliance needs and your scale. Your data stays with you; the proof stays in the chain.
Enterprise AI applications & Coding Agent
Build production-grade AI agents with three layers of safety filtering and a deep tool catalog.
- Persistent sandbox runtime: warm pool for fast start, automatic takeover on spot interruption.
- 300+ native tools: agents, flows, identity, storage, audit, DataHub and ML Workshop CRUD.
- Three-layer safety: jailbreak/topic/PII (input), toxicity/grounding (output), allow-list (execution).
- Every outbound HTTP call lands in the egress summary, hash-chained, ready for an auditor.
Internal knowledge assistants (RAG)
Enterprise RAG with 17 connectors, four vector backends and Turkish-aware PII redaction by default.
- Automatic parser: clean documents go through Docling, scans through Unstructured for OCR.
- Four vector backends: OpenSearch, pgvector, Qdrant, Milvus. Switch without rebuilding the KB.
- 17 connectors: relational and NoSQL databases, REST/GraphQL, Git, email, webhooks, S3/Azure Blob.
- Turkish PII default: national ID, tax ID, IBAN and phone (choose redact, mask or hash).
Document processing & Data Engineering
184 ready-made building blocks, auto-selected processing engines and embedded SQL transformations for visual pipeline design.
- 184 building blocks: sources, transforms, sinks, orchestration, quality and dedicated competitor-gap nodes.
- Engine auto-selection: instant on small data, massively parallel at scale; you don't choose, the platform does.
- Exactly-once writes: no duplicate rows even at the boundary; consistency guaranteed.
- Column-level lineage and per-node failure policy: abort/retry/skip/continue.
ML Workshop & Model Ops
From training to evaluation, from HPO to responsible AI, in our UX, with the open-source engine kept internal.
- Five training adapters (HuggingFace, NeMo, XGBoost, LightGBM, CatBoost) with distributed training topologies.
- HPO: four algorithms, four pruners, GPU-hour quota per tenant.
- Five fairness metrics: demographic parity, equalized odds, equal opportunity, predictive parity, disparate impact.
- Four-test drift ensemble; retraining triggers automatically and serving keeps running even after license expiry.
AI for regulated industries
Banks, telcos, public sector and defense: KVKK, GDPR and EU AI Act treated as first-class concerns.
- Seven-system erasure cascade: database, search, analytics, LLM trace, sessions, object storage, identity.
- Hash-chained audit and ISO 27560 signed consent receipts; retroactive policy change impossible.
- Air-gap parity: a USB-bundled install matches the online deployment one to one.
- SIEM fan-out: Splunk, QRadar, Sentinel over CEF v0.1, HMAC-signed, queued replay on failure.
A concrete answer for each role
Engineering leaders, CTO/CIOs and CISO/DPOs. Three audiences, three answers in their own language.
- 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.
- 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.
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.
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.