agent · data analysis
LangWatch vs Tilores
59 fields both were evaluated on, 34 of them different — including where one discloses something the other does not. Every value links to the document it came from. 25 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | LangWatch | Tilores |
|---|---|---|
| Audit trail· | “Best value picked per field across all linked sources — fully traceable back to the record it came from.”tilores.io · checked Aug 6, 2026 | |
| Explainability· | “The judge reads the whole trace like you would, expanding each step, so a verdict comes with the reasoning behind it.”langwatch.ai · checked Aug 1, 2026 | “Rules are explicit, tunable, and auditable. You can show exactly why two records were linked.”tilores.io · checked Aug 6, 2026 |
| Runtime governance· | “RBAC + REST APIs SCIM + SSO Cost-center attribution”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Permission scopes· | no public information tilores.io · checked Aug 6, 2026 | |
| Compliance certifications· | “ISO 27001 Certified GDPR Compliant EU data Residency Monitored by Vanta”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Regulatory alignment· | “Rules are explicit, tunable, and auditable. You can show exactly why two records were linked. You can adjust precision and recall to fit your use case. No black box.”tilores.io · checked Aug 6, 2026 | |
| SLA terms· | no public information langwatch.ai · checked Aug 1, 2026 | “sub-300ms ingestion (2ms self-hosted), ~150ms query response (1ms self-hosted)”tilores.io · checked Aug 6, 2026 |
| Evaluation coverage· | “Evaluate Score everything, from a single output to a whole conversation, offline and live in production.”langwatch.ai · checked Aug 1, 2026 | “They evaluated Tilores against multiple alternatives across a two-month structured benchmark. Tilores won on the hardest data to match: the global shipping and customs records that competing solutions couldn't reliably resolve.”tilores.io · checked Aug 6, 2026 |
| Self-reported performance· | Reports a median PM-to-PR time of 14 minutes using its workflow “median PM-to-PR 14 minutes”langwatch.ai · checked Aug 21, 2026 | no public information tilores.io · checked Aug 13, 2026 |
Agency
| Field | LangWatch | Tilores |
|---|---|---|
| Goal complexity· | “PM writes the goal Plain English. No code, no YAML. The brief is the spec.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Action space· | “Every tool call, skill, and MCP server is traced, and mockable or fixtured for deterministic runs.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Operating environment· | “Simulate real users Text and voice conversations from a simulated user that pushes your agent turn after turn, like the real world does.”langwatch.ai · checked Aug 1, 2026 | “Runs in your cloud, your data centre, or your laptop”tilores.io · checked Aug 6, 2026 |
| Initiative· | “Langy turns a PM's goal into a full Scenario test plan, then turns the failures into pull requests.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
Safety
| Field | LangWatch | Tilores |
|---|---|---|
| Safety evaluations· | “Red teaming Adversarial simulations probe for jailbreaks, policy breaks, and unsafe tool calls before your users find them.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Red teaming· | “Red teaming Adversarial simulations probe for jailbreaks, policy breaks, and unsafe tool calls before your users find them.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Safety policy· | no public information tilores.io · checked Aug 6, 2026 | |
| Data handling· | “Tilores deploys inside your own environment, so the resolved entity graph your models retrieve from never leaves it.”tilores.io · checked Aug 6, 2026 |
Practicality
| Field | LangWatch | Tilores |
|---|---|---|
| Price point· | no public information langwatch.ai · checked Aug 1, 2026 | “Tilores Studio Free Run entity resolution locally — up to 100,000 records.”tilores.io · checked Aug 6, 2026 |
| Availability· | “Tilores Studio is now available. Run entity resolution locally on your machine. Download free →”tilores.io · checked Aug 6, 2026 | |
| Deployment options· | “Cloud, self-hosted, or hybrid. Self-hosted Docker, Kubernetes/Helm, or in your VPC Hybrid Data plane on your infra, control plane on ours Cloud Managed multi-tenant SaaS”langwatch.ai · checked Aug 1, 2026 | “AWS-native by default · Infrastructure-agnostic by design · Runs in your cloud, your data centre, or your laptop”tilores.io · checked Aug 6, 2026 |
| Integrations· | “OpenTelemetry native Full GenAI spec support, so your traces work with any framework and any OTel-compatible stack.”langwatch.ai · checked Aug 1, 2026 | “GraphQL ● 96ms query ResolveEntity { entity(input: { id: "ent_3c8b21a0" }) { entity { id score edges recordInsights { name: valuesDistinct(field: "name" ) email: valuesDistinct(field: "email" ) phone: valuesDistinct(field: "phone" ) dob: valuesDistinct(field: "dateOfBirth" ) address: valuesDistinct(field: "address" ) location: valuesDistinct(field: "location" ) } } } }”tilores.io · checked Aug 6, 2026 |
| Supported regions· | no public information tilores.io · checked Aug 6, 2026 | |
| Support model· | no public information langwatch.ai · checked Aug 1, 2026 | “Our team works that way by default. "The Tilores team is one of the most professional teams I've ever worked with in my professional career. They were 100% supportive. They really were part of our team - it felt like a family. They are highly accessible, very professional. They can have discussions at a very pedantic technical level and they're more than capable of explaining things at a business level when needed."”tilores.io · checked Aug 6, 2026 |
Foundation models
| Field | LangWatch | Tilores |
|---|---|---|
| Base models· | no public information tilores.io · checked Aug 6, 2026 | |
| Model provider· | no public information tilores.io · checked Aug 6, 2026 | |
| Model swappable· | “Works with every agent framework, no rewrite required.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
Ecosystem
| Field | LangWatch | Tilores |
|---|---|---|
| Protocols supported· | “Every tool call, skill, and MCP server is traced”langwatch.ai · checked Aug 1, 2026 | |
| Tool use· | “Every tool call, skill, and MCP server is traced, and mockable or fixtured for deterministic runs.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| Multi-agent· | “Langy drafts the plan Picks the simulator, generates the scenarios, writes the JudgeAgent rubric.”langwatch.ai · checked Aug 1, 2026 | no public information tilores.io · checked Aug 6, 2026 |
| API access· |
Impact
| Field | LangWatch | Tilores |
|---|---|---|
| User base· | “Trusted in production by AI agents are still tested by hand, breaking in production.”langwatch.ai · checked Aug 1, 2026 | “Used by AI teams, risk teams, and data engineers at MediaPrint, Inato, Grover, and Cofinity-X”tilores.io · checked Aug 6, 2026 |
| Deployment scale· | “Trusted in production by AI agents are still tested by hand, breaking in production.”langwatch.ai · checked Aug 1, 2026 | “110M+ Source records resolved 60M Resolved entity clusters <24h Time to first results 100ms Query latency at scale”tilores.io · checked Aug 6, 2026 |
| Target sectors· | “By Industry Financial Services Insurance E-commerce Logistics Government Security Publishing”tilores.io · checked Aug 6, 2026 | |
| High-risk domains· | no public information tilores.io · checked Aug 6, 2026 |
Disclosed by neither
Both LangWatch and Tilores publish nothing on these 25 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 25 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Documented incidents
- Market recognition
- Pricing model
- Open weights
- Fine-tuning
- Context window
- Open source
- Marketplace presence
- Usage restrictions
- Model or system card
- Incident reporting
- Third-party evaluations
- Insurance available
- Own liability cover
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Outcome-based pricing
- Settlement mechanism
- Asset custody
- Dispute process
Questions
- How do LangWatch and Tilores compare on self-reported performance?
- LangWatch: Reports a median PM-to-PR time of 14 minutes using its workflow. Tilores: no public information disclosed.