Optimized Sales Optimized Marketing Target Accounts For CROs For CFOs For CMOs Blog News Glossary Compare Tools About Schedule a Demo
Comparisons

ORM vs Clari (2026): Forecasting Compared After the Salesloft Merger

Pete Furseth 12 min read
comparisonrevenue analyticsB2B SaaSrevenue forecasting
ORM vs Clari (2026): Forecasting Compared After the Salesloft Merger
Home/ Blog/ ORM vs Clari (2026): Forecasting Compared After the Salesloft Merger

TL;DR

Clari is a broad revenue platform built for large enterprise. After the December 2025 Salesloft merger, it now spans four products (Core, Copilot, Groove, Salesloft) and is led by a new CEO. Forrester called the integration "a lengthy, iterative process." It is still a strong choice if you are a Fortune 500 with the RevOps team to operate a wide stack.

ORM is an AI/ML forecasting platform built for B2B SaaS companies between $100M and $1B in ARR. We deliver 85 to 95 percent forecast accuracy with prescriptive recommendations attached. Custom models calibrated to your sales motion, operated by an analyst layer, no per-seat licensing.

If your problem is broad operational visibility across an enterprise sales org, look at Clari. If your problem is a forecast you can defend in a board meeting at $100M to $1B in ARR, look at ORM. For a wider view of the category, see our guide to the 11 best RevOps tools for B2B SaaS teams.

Why This Comparison Matters in 2026

The category changed in late 2025. Clari and Salesloft completed their merger on December 3, 2025. Anthony McPartlin at Forrester wrote in August 2025 that "from a product standpoint, to me the merger raises more questions than answers at this point." He called it a "high-risk, high-reward gambit" and said integrating the two overlapping platforms "would appear to be potentially a lengthy, iterative process."

By the time the merger closed, the leadership plan had also changed. Steve Cox was appointed CEO of the combined company, a different outcome than the leadership structure announced when the deal was first signed.

That matters for buyers. Customers renewing in 2026 are negotiating without a unified roadmap and without a published post-merger pricing structure. Forrester also flagged that the merger "brings the continuation of those Groove integration efforts into question," referencing the 2023 acquisition that was still being worked through when this deal landed.

This is not a hit piece. Clari is a real platform with real customers and real capabilities. It is the right choice for some teams. It is also worth being honest about what the 2026 reality looks like before you sign a multi-year contract.

What Each One Actually Is

Clari is now a broad revenue platform built around enterprise scale. It includes:

- Clari Core (pipeline aggregation, roll-up, ML-based forecasting via "Dynamic Forecasting") - Clari Copilot (conversation intelligence, formerly the Wingman acquisition) - Groove (sales engagement, acquired 2023) - Salesloft (sales engagement, added via the December 2025 merger)

The combined entity describes itself as serving "thousands of the world's most successful companies." The merger announcement specifically named Adobe, IBM, 3M, and Zoom among its customer logos. Public profile data indicates a meaningful share of Clari customers are enterprises over $1B in revenue with 1,000+ employees. That is the center of gravity.

ORM Technologies (orm-tech.com) is an AI/ML forecasting platform built around one outcome: forecast accuracy for B2B SaaS companies between $100M and $1B in ARR (typically $200M to $500M). What we deliver:

- Custom AI and ML models calibrated to your specific sales motion - 85 to 95 percent forecast accuracy, client-verified - Prescriptive recommendations at the deal, segment, and rep level - A dedicated analyst layer that operates the models so your team does not have to - Direct access to your CRM (Salesforce, HubSpot) without requiring rep workflow changes

Side-by-Side

ORMClari
CategoryAI/ML forecasting platformBroad revenue platform (forecasting + calls + engagement)
Built forB2B SaaS $100M to $1B ARRLarge enterprise (a meaningful share are $1B+)
Forecast methodologyCustom AI/ML models per clientML "Dynamic Forecasting" on time-series CRM data
Accuracy85 to 95% (client-verified)Not publicly disclosed
OutputPrescriptive actions per deal and segmentRoll-up dashboards plus risk flags
Rep workflow changeNone, reps stay in CRMNative in-platform deal updates
Conversation intelligenceOut of scopeIncluded (Clari Copilot, formerly Wingman)
Sales engagementOut of scopeIncluded (Groove plus Salesloft post-merger)
Implementation time4 to 6 weeks6 to 16 weeks (varies by deployment scope)
Ongoing team effortMinimal (ORM operates the models)10 to 15 hours per week of RevOps time (per third-party customer reports)
Pricing modelPlatform plus dedicated analyst layerPer-user, custom (third-party estimates: $100 to $300/user/mo across full stack)
Recent corporate activityStableSalesloft merger Dec 2025, new CEO Steve Cox, four overlapping products

What Customers Tend to Flag

A few recurring themes in public Clari reviews on G2:

> "The UI is not very intuitive and feels clunky." > Clari customer, G2

> "Clari's analytics and forecasting tools require significant onboarding and training." > Revenue Ops Manager, G2

The themes tend to cluster around two things: the platform has a real learning curve, and ongoing maintenance takes meaningful RevOps time. Neither is unique to Clari. Every broad enterprise platform faces a version of "complex, expensive, RevOps-heavy." Clari also has many strong reviews, particularly from large enterprise teams that have the headcount to operate it well.

The question is whether that trade-off is the right one for your scale.

The Cost Reality

Clari does not publish pricing publicly. Third-party pricing guides put the full Clari stack in the rough range of $100 to $300 per user per month depending on which products are included, with implementation in the $10K to $25K range and annual renewal uplifts of 10 to 20 percent commonly reported.

The number that usually matters more is the ongoing RevOps time. Customers consistently report 10 to 15 hours per week to maintain a mid-size deployment. The license fee is the number on the invoice. The maintenance hours are the number that actually shape the ROI math.

ORM is priced as a platform plus a dedicated analyst layer, not per seat. The model is built for companies where the question is "what is my forecast going to be" not "how many reps are using the tool."

Where Clari Wins

I want to be direct about this.

Large enterprise scale. If you are over $1B in revenue with hundreds or thousands of reps, Clari is built for that scale. The customer base reflects it. Broad revenue stack in one vendor. If you want forecasting, calls, and engagement under one contract, the post-merger Clari now covers all of it (with the integration caveats above). Pipeline visibility and roll-up. If your CRO cannot see the rolled-up commit without chasing five managers, Clari fixes that. In-platform rep workflow. Clari has invested heavily in the deal-update interface. If pulling reps into CRM is a daily fight, the Clari UX makes that easier. Conversation intelligence in the same stack. Clari Copilot bundles call recording, transcription, and coaching cues. If those belong with forecasting, Clari has them.

These are real strengths. They are why Clari has the customer base it has.

Where ORM Wins

ORM is built for a different set of problems.

Forecast accuracy at $100M to $1B in ARR. A 10 to 15 percent forecast miss at this scale is tens of millions in misallocated capital. AI/ML models calibrated to your specific deal dynamics produce materially better accuracy than a one-size-fits-all platform tuned for the largest enterprises. Prescriptive action, not just a signal. A signal tells you the pipeline looks light. Prescriptive analytics tell you which three deals need executive engagement this week, which segment needs 40 percent more pipeline coverage, and how to reallocate SDR capacity to close the gap. That is the difference between knowing and doing. No in-house modeling team required. Operating a forecasting platform well takes analytical horsepower. ORM brings the platform plus the analyst layer that operates it. You get the output, the recommendations, and the working sessions without staffing up. No four-product stitched stack. ORM is one platform built around one job. No Core plus Copilot plus Groove plus Salesloft to integrate. Predictable on the corporate side. No mergers, no new CEO, no integration roadmap "coming years away." Same team that built your model is the team that operates it next quarter.

How to Decide

Pick Clari if:

1. You are a large enterprise (often over $1B in revenue) with the RevOps headcount to operate a broad platform 2. Your primary problem is operational visibility across pipeline, calls, and engagement 3. You want a single vendor across the revenue motion 4. You can absorb 10 to 15 hours per week of RevOps time and 8 to 16 weeks of implementation 5. You are comfortable signing into a roadmap that is still being integrated post-merger

Pick ORM if:

1. You are B2B SaaS between $100M and $1B in ARR (typically $200M to $500M) 2. The forecast goes to the board and accuracy is the constraint 3. You want prescriptive recommendations attached to the number, not just a dashboard 4. You do not want to build (or do not have) an in-house forecasting analytics team 5. You want a stable platform built for one job, not a four-product enterprise stack

If you are already running Clari and the forecast is the part that is not working, the cleanest path is usually to keep Clari for daily pipeline operations and add ORM as the forecast accuracy layer that goes to the board. We have clients on both. The honest version is that most companies between $100M and $1B in ARR end up moving the forecast itself off Clari and onto ORM within a year of starting the dual-vendor setup.

What Switching Looks Like

If you are evaluating a switch from Clari to ORM, here is the honest view:

- Implementation: 4 to 6 weeks for ORM model calibration on your CRM data (vs Clari's 8 to 16 weeks) - Data migration: None required. ORM operates directly on Salesforce or HubSpot, the same data sources Clari uses. - Rep workflow: Reps continue updating deals in the CRM. No platform retraining. - What you lose: Conversation intelligence and sales engagement (if you were using Copilot or Groove). Most teams keep those tools and just remove Clari Core. - What you gain: A forecast you can defend, prescriptive recommendations every week, and 10 to 15 hours per week of RevOps time back.

The Honest Bottom Line

Clari built a strong revenue intelligence platform and grew it into a broad enterprise stack. After the Salesloft merger, that stack is wider but more complex, and the integration risk is real and acknowledged by Forrester.

ORM built one thing: an AI/ML forecasting platform calibrated to B2B SaaS companies between $100M and $1B in ARR. We deliver 85 to 95 percent forecast accuracy with prescriptive recommendations, operated by an analyst layer.

The real question is not which product is better. It is which problem you are solving and at what scale.

If you are a Fortune 500 buying a broad operational stack, Clari has real strengths.

If you are running a B2B SaaS company between $100M and $1B in ARR and you need a defensible forecast, ORM is built for you.

---

Want to see the difference in your data? Book a working session with our team. We will walk you through how the model would calibrate to your sales motion and what the forecast accuracy would look like in your first quarter.

---

Sources cited in this article:

- Forrester analysis of the Clari-Salesloft merger (Anthony McPartlin, August 2025): forrester.com/blogs/clari-salesloft-merger-a-bold-high-stakes-bid-for-market-dominance - Salesloft + Clari merger announcement: salesloft.com/company/newsroom/clari-salesloft-merger - Clari Dynamic Forecasting product details: clari.com/products/forecast/ - Clari Copilot product page: clari.com/products/copilot/ - Clari customer reviews: g2.com/products/clari/reviews - Clari pricing estimates: marketbetter.ai and outdoo.ai (third-party guides) - Customer demographic data: enlyft.com/tech/products/clari - Reddit discussions: r/SalesOperations

Related reading on ORM:

- 7 Best Clari Alternatives for Revenue Teams (2026) - AI [Sales Forecasting](/products/ai-sales-forecasting/): how our AI/ML models work - Prescriptive Analytics Platform: the prescriptive layer explained - Sales Forecasting Software: product overview - Revenue Planning Software: capacity planning + scenario modeling - SaaS Revenue Forecasting: industry-specific approach - Enterprise Sales Forecasting: for larger B2B organizations - Sales Forecasting: Complete Guide - Pipeline Velocity - Revenue Intelligence - Forecast Accuracy - Prescriptive Analytics

Frequently Asked Questions

Is ORM a Clari replacement?

Sometimes, sometimes not. Clari is a broad revenue platform built for large enterprise teams: pipeline, ML forecasting, calls, and engagement, all in one stack. ORM is an AI/ML forecasting platform built for one job: producing a forecast accurate enough to defend in a board meeting. B2B SaaS companies between $100M and $1B in ARR often replace Clari with ORM. Larger enterprises sometimes layer ORM on top for the forecast itself and keep Clari for daily operations.

What changed when Clari merged with Salesloft?

The merger closed in December 2025 and combined two large platforms into one. Customers now sit on top of four overlapping products: Clari Core, Clari Copilot (the rebranded Wingman), Groove, and Salesloft. Forrester wrote that the merger raises more questions than answers and that integration will be a lengthy, iterative process. New CEO Steve Cox is roughly a quarter into the role. Customers renewing in 2026 should expect uncertainty on roadmap and pricing.

How much does Clari actually cost?

Clari does not publish pricing. Third-party pricing guides report Clari Core at approximately $100 to $120 per user per month and Clari Copilot at approximately $60 to $100 per user per month, with Groove often bundled with Copilot. Implementation runs roughly $10K to $25K for basic setup, and customers commonly report 10 to 20 percent annual renewal uplifts.

What is ORM's forecast accuracy?

85 to 95 percent, client-verified. ORM builds custom AI and ML forecast models on each client's CRM data, calibrated to their specific stage conversion rates, sales motion, and pipeline mix. Accuracy varies by client and by quarter, but the 85 to 95 percent range is what we deliver consistently for B2B SaaS companies between $100M and $1B in ARR.

Who is Clari still the right choice for?

Large enterprise revenue teams (often over $1B in revenue) that want a single broad platform across pipeline, calls, and engagement, and that have the RevOps headcount to operate it. Companies with named logos like Adobe, IBM, 3M, Zoom, and Shopify are Clari's center of gravity. If you have the team and budget for a broad stack, Clari is built for you.

Who is ORM the right choice for?

B2B SaaS companies between $100M and $1B in ARR (typically $200M to $500M) where the forecast goes to the board and a 10 to 15 percent miss costs tens of millions. ORM fits when accuracy is the constraint, you want prescriptive recommendations attached to the number, and you do not want to staff up an in-house modeling team.

Can ORM and Clari run side by side?

Yes. We have clients running Clari for daily pipeline operations and ORM for the AI/ML forecast that goes to the executive team. ORM works directly on the same CRM data Clari connects to, so there is no integration conflict. The trade-off is paying for two platforms instead of one.

How long does it take to switch from Clari to ORM?

Four to six weeks for model calibration on your data. Clari implementations typically run 8 to 16 weeks. Switching does not require ripping anything out of your CRM since ORM operates directly on the same data sources.

PF
Pete Furseth
ORM Technologies
Pete has built custom revenue forecast models for B2B SaaS companies for over a decade.

See how ORM turns these insights into action

ORM builds custom revenue forecast models for B2B SaaS companies. Not dashboards. Prescriptive analytics that tell you what to do next.

Schedule a Demo